A Comprehensive Review: Nanomembranes and Nanosorbents for Water Treatment
Dr. Mishu Singh, Dr. Akhilesh Kumar- September 2022 Page No.: 01-06
Water despite being an indispensable part of human life is facing a major problem of being contaminated worldwide. There are several contaminants present in sewage and industrial effluents being discharged into water bodies making them unfit for drinking. This review explains the various claims of nanomaterial in removing contaminants from polluted water. Due to the unique properties of being nano-scale sized, high reactivity, and nanomaterial have been the major subject of research and development for the last decade. Studies have shown that nanomaterials are highly effective and successfully applied in removing contaminants from wastewater. Due to their exceptional properties of having a larger surface area, and being able to act at very low concentrations, nanomaterials have enormous possibilities to treat wastewater containing metallic & non-metallic substances, different organic and inorganic impurities, etc. Still, there are many challenges and issues with wastewater treatment. This paper discusses the various nanomaterials and the treatment methods using nanomaterials which are flexible, cost-effective, and efficient for the commercialization also.
Page(s): 01-06 Date of Publication: 25 September 2022
Dr. Mishu Singh
Department of Chemistry, Pt. D. D. U. Govt. Girls P. G. College, Lucknow, India
Dr. Akhilesh Kumar
Department of Chemistry, Pt. D. D. U. Govt. Girls P. G. College, Lucknow, India
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Dr. Mishu Singh, Dr. Akhilesh Kumar “A Comprehensive Review: Nanomembranes and Nanosorbents for Water Treatment” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.01-06 September 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-9/01-06.pdf
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Implicit Seven Step Simpson’s Hybrid Block Second-derivative Method with One Off-Step Point for Solving Second Order Ordinary Differential Equations
Umaru, A. H., Donald, J. Z., and Skwame, Y.- September 2022 Page No.: 07-11
This paper is concerned with the construction of continuous Seven-Step implicit hybrid block Simpson’s Second derivative method for solving initial value problems of second order ordinary differential equations were derived through interpolation and collocation method using maple software. Power series approximation method was used to generate the unknown parameters in the corrector. These Continuous formulations were evaluated at some desired points to give the discrete schemes which constitute the hybrid block method. The constructed block method is consistent, zero-stable and A(α)-Stable. Numerical results obtained using the new block method show that it superior on some system of initial value problems. The study revealed that our new method performed better.
Page(s): 07-11 Date of Publication: 03 October 2022
Umaru, A. H.
Department Of Mathematics, Adamawa State University Mubi Nigeria
Donald, J. Z.
Department Of Mathematics, Adamawa State University Mubi Nigeria
Skwame, Y.
Department Of Mathematics, Adamawa State University Mubi Nigeria
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Umaru, A. H., Donald, J. Z., and Skwame, Y. “Implicit Seven Step Simpson’s Hybrid Block Second-derivative Method with One Off-Step Point for Solving Second Order Ordinary Differential Equations” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.07-11 September 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-9/07-11.pdf
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Assessment of the Relationship Between the AST&D Beneficiaries and the Perceived Benefits and Challenges.
Shedrack Enyeribe Nwannunu- September 2022 Page No.: 12-19
The study looked at the relationship between TETFUND AST&D beneficiaries’ satisfaction with the benefit and the obstacles associated with the funding for academic staff training and development. The study’s population was drawn from Abdu Gusau Polytechnic in the Northwest, Nigeria. Twenty of the thirty structured questionnaires were returned as valid and were used in the study. The descriptive statistics were obtained by SPSS 2023, and the hypothesis was tested using Spearman’s correlation coefficients. Statistics reveal a totally positive and statistically significant association between the satisfaction of AST&D recipients and the benefits and difficulties. Second, the interaction between AST&D benefits and challenges was strongly positive and statistically significant, indicating that the challenges had no effect on the benefits. The study recommends that TETFUND should entice local funding to attract applicants. Balancing the disparity between local and international AST&D funds will attract more local trainees and will also increase Nigeria’s assets denominated in foreign currency (foreign reserves) that are held by the Central Bank of Nigeria (CBN).
Page(s): 12-19 Date of Publication: 03 October 2022
Shedrack Enyeribe Nwannunu
Department of Accountancy
Abdu Gusau Polytechnic, Talata Mafara, Zamfara, Nigeria
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Shedrack Enyeribe Nwannunu “Assessment of the Relationship Between the AST&D Beneficiaries and the Perceived Benefits and Challenges.” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.12-19 September 2022 DOI: https://dx.doi.org/10.51584/IJRIAS.2022.7901
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Finite Element Analysis of Pressure Vessels Subjected to Uniform Internal Pressure Using Ansys Software
Feysal Mohamed Shirwa- September 2022 Page No.: 20-26
This paper discusses the stresses developed in the pressure vessels having various thicknesses. Pressure vessels are intended to hold gases or liquids at a pressure substantially different from atmospheric pressure. Equations of static equilibrium along with free body diagrams will be used to determine the normal stress σ1 in the hoop direction and σ2 in the longitudinal direction also the von misses’ stresses. Also we will discuss the deformations and displacements to the pressure vessel using commercial finite element software called ANSYS for modelling and analyzing of the vessels. And the main results we found is that there is stress and deformation variation in the vessel according to thickness
Page(s): 20-26 Date of Publication: 09 October 2022
Feysal Mohamed Shirwa
Masters in Structural Engineering, BSc in Civil Engineering
Senior Lecturer at Department of Civil Engineering of Zamzam University of Science and Technology
Somali International University, University of Somalia, Mogadishu, Banadir, Somalia
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Feysal Mohamed Shirwa “Finite Element Analysis of Pressure Vessels Subjected to Uniform Internal Pressure Using Ansys Software” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.20-26 September 2022
DOI: https://dx.doi.org/10.51584/IJRIAS.2022.7902
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Bluetooth And Arduino Uno-Based Voice-Controlled Home Automation System
Modupe E. Sanyaolu, Victoria O. Amolegbe, Alexander A. Willoughby- September 2022 Page No.: 27-30
People nowadays seek strategies to improve their lifestyles by utilizing the most up-to-date technologies. Also, the physically challenged find it difficult to do minor tasks alone in the home. Home automation systems are getting more attention coinciding with developments in the Internet of Things. In line with assistive technology, this project demonstrates the implementation of a low-cost home automation system by designing and building a microcontroller-based system for controlling and monitoring home devices with the use of a voice remote control system that allows data to be transferred through wireless media. The technology is simple to use and is built on an Android-based smartphone with an easy interface. Demonstrations reveal that the system makes it easier for the system’s intended users (the elderly and the disabled) to operate lighting, heating, cooling, and security systems in their homes.
Page(s): 27-30 Date of Publication: 09 October 2022
Modupe E. Sanyaolu
Department of Physical Sciences, Faculty of Natural Sciences, Redeemer’s University, PMB 230, Ede, Osun State, Nigeria
Victoria O. Amolegbe
Department of Physical Sciences, Faculty of Natural Sciences, Redeemer’s University, PMB 230, Ede, Osun State, Nigeria
Alexander A. Willoughby
Department of Physical Sciences, Faculty of Natural Sciences, Redeemer’s University, PMB 230, Ede, Osun State, Nigeria
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Modupe E. Sanyaolu, Victoria O. Amolegbe, Alexander A. Willoughby “Bluetooth And Arduino Uno-Based Voice-Controlled Home Automation System” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.27-30 September 2022 DOI: https://dx.doi.org/10.51584/IJRIAS.2022.7903
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Monitoring and Evaluation of Air Quality: A Case Study of Mogadishu, Somalia
Abdulshakur Abdullahi Diiso, Mohamed M. Garas, Abdisalam Abdullahi Adan, Nur Rashid Ahmed- September 2022 Page No.: 31-36
The long lasting civil war in Somalia and the limited functionality of the Mogadishu based government for over the last 20 years have had negative implications on both the environment and public health majorly through air pollution. The absence of strong laws or legislations concerning access and use of different natural resources has severe consequences on the entire Somalia population as a whole. This study was aimed at assessing the level of air quality in Mogadishu, Somalia. The focus of the assessment was to carefully document the prevailing environmental health situation or air quality in the selected districts of Mogadishu mostly concerning the areas of sanitation and hygiene, industrial pollution and energy as well as air quality as a whole. A descriptive observational study was undertaken in the seven selected Mogadishu of districts to assess the level of air quality and the overall environmental health situation in the area.
A sample of 10 commercial areas was used for each district, and both PM2.5 and PM 10 devices were installed, and each areawas checked three times (7:00Am.) (12:00PM) and (3:00PM) values were entered in Excel 2019. The level of pollution in all areas of the study are very healthy state. Except the Hodan district in which there is moderate to high level of pollution followed by Yaqshid and Heliwa. However; in Somalia the air pollution is not a national issues as compared the Neighboring countries. Although our study season may have impact on overall study results due to the winter season we suggest that need for further study in the different seasons to expose the hidden factors that minimize the level of pollution.
Page(s): 31-36 Date of Publication: 17 October 2022
Abdulshakur Abdullahi Diiso
Research Fellow, Department of Engineering, Faculty of Civil Engineering, Jamhuriye University of Science and Technology, Somalia
Mohamed M. Garas
Research Fellow, Department of Engineering, Faculty of Civil Engineering, Jamhuriye University of Science and Technology, Somalia
Abdisalam Abdullahi Adan
Research Fellow, Department of Engineering, Faculty of Civil Engineering, Jamhuriye University of Science and Technology, Somalia
Nur Rashid Ahmed
Research Fellow, Department of Engineering, Faculty of Civil Engineering, Jamhuriye University of Science and Technology, Somalia
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Abdulshakur Abdullahi Diiso, Mohamed M. Garas, Abdisalam Abdullahi Adan, Nur Rashid Ahmed “Monitoring and Evaluation of Air Quality: A Case Study of Mogadishu, Somalia” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.31-36 September 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-9/31-36.pdf
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A Deep Learning Based Classification Model for the Detection of Brain Tumor using MRI
Md. Abid Hasan Nayeem, Mehedi Hasan Shakil, Sadia Afrin, Sadah Anjum Shanto, Shadia Jahan Mumu, Md. Mahmudul Hasan Shanto- September 2022 Page No.: 37-42
The diagnosis of a brain tumor requires high accuracy, as even small errors in judgment can lead to critical problems. For this reason, brain tumor segmentation is an important challenge for medical purposes. The wrong classification can lead to worse consequences. Therefore, these must be properly divided into many classes or levels, and this is where multiclass classification comes into play. The latest development of image classification technology has made great progress, and the most popular and better method is considered to be the best in this area is CNN, so this paper uses CNN for the brain tumor classification problem. The proposed model successfully classifies brain images into two distinct categories, namely the absence of tumors indicating that a given brain MRI is free of tumors or the Brain contains Tumor. This model produces an accuracy based on the results of a study that was conducted on a group of volunteers.
Page(s): 37-42 Date of Publication: 17 October 2022
Md. Abid Hasan Nayeem
Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh
Mehedi Hasan Shakil
Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh
Sadia Afrin
Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh
Sadah Anjum Shanto
Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh
Shadia Jahan Mumu
Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh
Md. Mahmudul Hasan Shanto
Computer Science and Engineering, Bangladesh University of Business and Technology, Dhaka, Bangladesh
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Md. Abid Hasan Nayeem, Mehedi Hasan Shakil, Sadia Afrin, Sadah Anjum Shanto, Shadia Jahan Mumu, Md. Mahmudul Hasan Shanto “A Deep Learning Based Classification Model for the Detection of Brain Tumor using MRI” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.37-42 September 2022 DOI: https://dx.doi.org/10.51584/IJRIAS.2022.7904
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Susceptibility and Characterization of Vibrio cholerae Obtained from Aqua-based Samples in Selected Local Government Areas, Zamfara State, Nigeria
Christopher E. Ezeamagu, Cajethan O. Ezeamagu, Mande Garuba and Toyosi F. Osisami- September 2022 Page No.: 43-46
Vibrio cholerae is causative agent of cholera and its impact has been associated with significant morbidity and mortality in health care institution and community settings globally. Studies have shown that two serotypes are associated with cholera outbreak globally, but an atypical strains with reduced resistance to antibiotics have been implicated in Nigeria. Hence, this study was designed to identify and determine the antibiogram of Vibrio cholerae obtained from water samples in Zamfara State with a view to help in antibiotic surveillance system. Thirty-eight (38) water samples comprising of well water, streams and rivers were randomly selected from nine Local Government Areas in Zamfara State; (Tsafe (3), Zurmi (2), Maradun (1), Talata Mafara (2), Gusau (3), Bungudu (13), Birnin Magaji/Kiyaw (1) and Shinkafi (12). Vibrio cholerae were isolated using TCBS agar by standard microbiological method. The sensitivity of the isolates was determined by disc diffusion method while the isolated was confirmed by polymerase chain reaction (PCR) using cholera toxin gene (ctxA) specific primers. A total of 15 isolates; well (1), rivers (11), streams (3), were obtained from 38 samples collected. The resistance profile of isolates showed that all isolates (100%) were resistant to ceftriaxone, cefixime, and ceftazidime. Also, 8%, 46% and 81% of the isolates were resistance to gentamicin, nitrofurantoin and amoxicillin/clavulanate respectively, but all the isolates were susceptible to ofloxacin with 88% susceptible to both gentamicin and ciprofloxacin. Likewise, 54% of isolates were susceptible to nitrofurantoin while 19% were susceptible to amoxicillin/clavulanate. The results obtained revealed presence of Vibrio cholerae in an environmental reservoir especially in river sources with high profile antibiotic resistance which could pose serious health risk to the community. Hence, antibiotic surveillance system in this region is advised.
Page(s): 43-46 Date of Publication: 17 October 2022
Christopher E. Ezeamagu
Chemistry Department, Federal College of Education, Technical Gusau, Zamfara State, Nigeria
Cajethan O. Ezeamagu
Department of Microbiology, Babcock University, Nigeria.
Mande Garuba
Chemistry Department, Federal College of Education, Technical Gusau, Zamfara State, Nigeria
Toyosi F. Osisami
Department of Microbiology, Babcock University, Nigeria.
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Christopher E. Ezeamagu, Cajethan O. Ezeamagu, Mande Garuba and Toyosi F. Osisami “Susceptibility and Characterization of Vibrio cholerae Obtained from Aqua-based Samples in Selected Local Government Areas, Zamfara State, Nigeria” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.43-46 September 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-9/43-46.pdf
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A Similarity Solutions Approach to Forced Convection via a Porous Medium Attached to Flat Plate
Augustine Akuoko Kwarteng, Jose Corona, John Kizito- September 2022 Page No.: 47-58
In the present study, a porous medium adjoining a heated flat plate was modelled by a similarity approach to determine the effect of porosity on the heat transfer phenomena. The momentum and energy equations for porous media transport were transformed using an appropriately determined similarity parameter. The solutions to the momentum equations proved to depend only on the porosity and not the material used. The energy equation however was additionally dependent on the combinations of fluid type and metal matrix used and was solved for four combinations; water/aluminum, air/aluminum, air/copper and SAE 20W-50/stainless. The results show that replacing the clear fluid control volume with a porous matrix altered both the velocity profiles and temperature distribution profiles at all Reynolds numbers. As the porosity of the medium decreased, it resulted in an increase in interfacial area as well as thermal diffusion in the direction normal to the plate, both of which was seen to enhance the heat transfer coefficients. Decreasing porosity also resulted in an increase in thermal storage as well a reduction in volume flow rate going through the medium, which on the other hand tend to inhibit convection. Thus, changing the porosity triggered effects on the heat transfer coefficient. This opposing trend favored convection at porosity greater than 0.5 for low Prandtl number fluids. The clear fluid condition has the lowest heat transfer coefficient and the values increased steeply as porosity changed from 0.99 through 0.7. The heat convection curve reached its maximum turning point at a porosity of 0.5 and then reversed in trend. The dimensionless heat transfer coefficient was found to fit the equation hLL/ReL0.5kfPrf=aebPrmc ( a= 0.51966;b=0.54683;c=-0.665349) . Using Stanton number representation, the relation is StReL>1/2=1/3 aebPrmc , which portrays in relative terms how the convection enhancement and the opposing thermal storage effects vary with porosity. This study concluded that implementing a porous structure in a medium is feasible for enhancing heat transfer performance.
Page(s): 47-58 Date of Publication: 25 September 2022
Augustine Akuoko Kwarteng
Department of Mechanical Engineering, University of Mines and Technology, P.O. Box 237, Tarkwa, Ghana
Department of Mechanical Engineering, North Carolina A&T State University, 1601 East Market St, Greensboro, NC 27411, U.S.A
Jose Corona
Department of Mechanical Engineering, North Carolina A&T State University, 1601 East Market St, Greensboro, NC 27411, U.S.A
John Kizito
Department of Mechanical Engineering, North Carolina A&T State University, 1601 East Market St, Greensboro, NC 27411, U.S.A
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Augustine Akuoko Kwarteng, Jose Corona, John Kizito “A Similarity Solutions Approach to Forced Convection via a Porous Medium Attached to Flat Plate” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.47-58 September 2022 DOI: https://dx.doi.org/10.51584/IJRIAS.2022.7905
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Photocatalytic Degradation of Phenol in Wastewater: A Mini Review
Lawal, A.I., Muhammad, Z., Obunadike, C.V., Yakubu, Y.Y., Ogunsanmi, A.O., Abdulrazak, O.O., Ayodele, C.O. and Komolafe, F.E.- September 2022 Page No.: 59-64
A major public health concern in many developing countries, including Nigeria, is the quality of their water supply. Everything a live entity does depends on water, a fundamental component of the biosphere. To ensure that water is safe for industrial and home use, it must be treated before consumption. However, phenolic compounds are found in our water bodies due to the polluted wastewater from industrial, agricultural, and home activities. Nature also has a role in their occurrence. These substances are poisonous and can cause long-term harm to both humans and animals. This paper reviewed research on the photodegradation of phenol utilizing nanoparticles in water treatment. This provides additional information and facts on cost-effective methods of treating wastewater and mineralizing phenol into valuable chemicals.
Page(s): 59-64 Date of Publication: 20 October 2022
Lawal, A.I.
Kaduna State University, Nigeria
Muhammad, Z.
Kaduna State University, Nigeria
Obunadike, C.V.
Osun State University, Nigeria
Yakubu, Y.Y.
Kwame Nkrumah University of Science and Technology, Kumasi- Ghana
Ogunsanmi, A.O.
Kwara State University, Nigeria
Abdulrazak, O.O.
Osun State University, Nigeria
Ayodele, C.O.
Federal University of Agriculture, Abeokuta, Nigeria
Komolafe, F.E.
Federal University of Technology, Akure, Nigeria
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Lawal, A.I., Muhammad, Z., Obunadike, C.V., Yakubu, Y.Y., Ogunsanmi, A.O., Abdulrazak, O.O., Ayodele, C.O. and Komolafe, F.E. “Photocatalytic Degradation of Phenol in Wastewater: A Mini Review” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.59-64 September 2022 DOI: https://dx.doi.org/10.51584/IJRIAS.2022.7906
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Capital Structure and Firm Performance: Evidence From 2021 Best-Performed Stocks in Nigeria
Shedrack Enyeribe Nwannunu- September 2022 Page No.: 65-75
The researcher used an eight-firm sample drawn randomly from a population of ten to study the relationship between capital structure and stock performance of the companies that traded the best-performing stocks on the Nigerian stock exchange in 2021. The study used a four-year panel data collection (2018–2021). For hypothesis testing, the study used EXCEL-generated research statistics and the least-squares dummy variables (LSDV) regression in SPSS. The findings show a statistically significant positive correlation between corporate capital structure and stock performance (ROA and R.O.E.). The study recommended employing larger samples of the best-performing equities over two or more years.
Page(s): 65-75 Date of Publication: 25 October 2022
Shedrack Enyeribe Nwannunu
Department of Accountancy, Abdu Gusau Polytechnic, Nigeria
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Shedrack Enyeribe Nwannunu “Capital Structure and Firm Performance: Evidence From 2021 Best-Performed Stocks in Nigeria” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.65-75 September 2022 DOI: https://dx.doi.org/10.51584/IJRIAS.2022.7907
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Computer Simulation of Airflow Distribution in a Heat Pump Dryer
Kavindi M. A. R., Amaratunga K.S.P., Ekanayake E.M.A.C- September 2022 Page No.: 76-82
Computer simulation is an effective technique for better understanding the physical phenomena of drying. Understanding and predicting the drying behavior before applying the material would increase the dryer efficiency by properly designing existing heat pump dryer systems. This study was done to simulate the airflow in a heat pump dryer chamber using Computational Fluid Dynamics (CFD). COMSOL Multiphysics software v5.4 has been used for simulation. Air velocity, temperature, and relative humidity distribution profile were achieved by solving the Naiver stoke fluid equation, Heat transfer equation, and Transport of diluted species equation (Fick’s law). The simulated data for nine different locations were verified using experimental results. The relative error and mean relative deviation for temperature profile were less than ±1.8% and 7.8%. It was recorded less than ±2.8% and 10.6% values for the relative error and mean relative deviation for relative humidity profiles. Therefore, this would be a suitable prediction method to understand the airflow pattern and conditions inside a chamber
Page(s): 76-82 Date of Publication: 25 October 2022
Kavindi M. A. R.
Department of Agricultural Engineering, Faculty of Agriculture, University of Peradeniya, Sri Lanka.
Amaratunga K.S.P.
Department of Agricultural Engineering, Faculty of Agriculture, University of Peradeniya, Sri Lanka.
Ekanayake E.M.A.C
Postgraduate Institute of Agriculture, University of Peradeniya, Sri Lanka.
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Kavindi M. A. R., Amaratunga K.S.P., Ekanayake E.M.A.C “Computer Simulation of Airflow Distribution in a Heat Pump Dryer” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.76-82 September 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-9/76-82.pdf
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Application of Geophysical and Geotechnical Methods for Mapping and Characterization of Sand and Gravel Deposits in Njaba Area of Imo River Basin, Nigeria.
Emeka Nwadisia, Leonard I. Nwosu and Bright O. Nwosu- September 2022 Page No.: 83-91
Excavation of sand and gravel occurs along Njaba River bank for Civil engineering purposes which occasionally results to landslides that lead to casualties. Hence, Geoelectrical and Geotechnical techniques were adopted for mapping and characterizing the sand and gravel deposits and at the same time assess the slopes stability. Ten vertical electrical soundings (VES) were carried out at different locations, using OHMEGA-500 resistivity meter. The field data were interpreted using Advanced Geosciences Incorporation (AGI) ID resistivity inversion software and Schlumberger Automatic analysis version. The model results revealed that the sand and gravel layers have high resistivity values ranging from 1359Ωm to 7353Ωm. The geologic information, the borehole data and VES model were integrated to map the sand and gravel bed. The thickness of the beds ranges from 15.70m to 67.60m. Four samples collected at different locations were tested and analyzed in laboratory to determine basic geotechnical parameters. Average values obtained were: moisture content (10.7%), bulk density (2.10g/cm3) maximum Dry density (1.73g/cm2), California Bearing Ratio (24%). The particle size distribution obtained revealed that the coarse sand, medium sand, fine sand are 3.7%, 34.52%, 61.26% respectively, implying that they are of good grade and in conformity with civil engineering requirements. The slopes instability in the study area is as a result of the low shear strength.
Page(s): 83-91 Date of Publication: 25 October 2022
Emeka Nwadisia
Department of Physics University of Port Harcourt, Nigeria.
Leonard I. Nwosu
Department of Physics University of Port Harcourt, Nigeria.
Bright O. Nwosu
Department of Geology University of Port Harcourt, Nigeria.
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Emeka Nwadisia, Leonard I. Nwosu and Bright O. Nwosu “Application of Geophysical and Geotechnical Methods for Mapping and Characterization of Sand and Gravel Deposits in Njaba Area of Imo River Basin, Nigeria.” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.83-91 September 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-9/83-91.pdf
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Estimating The Accuracy of Classifiers in Analyzing Multiple Diseases
AJAYI Olusola Olajide- October 2022 Page No.: 92-96
Medical data are regarded as been sensitive not only in terms of the need to keep it private but also and majorly in terms of the need to get it right and accurate. Patients’ medical data are diagnose and analyze with optimal accuracy to avoid error of prescription. Multiple diseases are one that can easily get complicated where the analysis of symptoms are not right. Machine learning is a known field of inquiry found very suitable in the medical area for analysis of medical diagnosis. The need for the right classification algorithm to deploy for a particular medical experimentation/prediction becomes very germane especially in the case of multiple diseases. No doubt, many researches have been done in this regard but not specifically tailored towards multiple diseases. The study which utilizes medical data from third party, www.kaggle.com, applied selected common three classification algorithms on the dataset. The result of the experimentation carried out using WEKA Explorer, shows Artificial Neural Network (ANN) outperforms Decision Tree and Naïve Bayes in terms of level of accuracy.
Page(s): 92-96 Date of Publication: 25 October 2022
AJAYI Olusola Olajide
Department of Computer Science, Faculty of Science, Adekunle Ajasin University, Akungba-Akoko, Ondo, Nigeria
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AJAYI Olusola Olajide “Estimating The Accuracy of Classifiers in Analyzing Multiple Diseases ” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-7-issue-9, pp.92-96 October 2022 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-7-issue-9/92-96.pdf
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