Middle East Journal of Applied Science & Technology (MEJAST) is the dominant journal for publishing innovative research ideas in arts, science, medicine, law, engineering and technology domains with relevant applications. MEJAST welcomes full papers, communications, technical notes, critical and tutorial review articles, editorials, and comments, in addition to the literature reviews that are prepared by an expert panel. This includes, but is not restricted to, the most recent progress, developments and achievements in all the below mentioned domains.
Submissions are welcome in the following areas, but note this list reflects the current scope and authors are strongly encouraged to contact the editorial team if they believe that their work offers potentially new and emerging research relevant to the journal scope and coverage & not strictly limited within: Aerodynamics, Automation Systems, Biology, Biomedical Engineering, Botany, Chemistry, Communication Systems, Computer Science, Conventional Energy, Data Communication, Dentistry, Economics, Education, Electromagnetics, Embedded Systems, Engineering Domains, Finance, Food & Nutrition, Geology, Green Computing, Grid Computing, High Speed Networks, Image Processing, Management, Mathematics, Mechanics, Meteorology, Microbiology, Mobile Computing, Nano Robotics, Nursing, Operating Systems, Optical Communication, Physics, Physiotheraphy, Political Science, Power Systems, Psychology, Red Taction, Sensor Networks, Sociology, Sensor Networks, Thermodynamics, Veterinary Medicine, Video Signal Processing, VLSI Design, Wireless Communication.
Mission: MEJAST is dedicated in making authentic knowledge contributions to research and technical communities worldwide. We are proud to be engines of these communities by contributing our painstaking efforts to their advancements in these fields. By delivering world-class trustworthy information and innovative discoveries to researchers, educators and practitioners around the globe, we help them to become more productive in their work and successful in their career.
When information is to be displayed worldwide, searching for quality information is a big challenge. That is why MEJAST partners (by making them Fellows) with leading experts, and publishes the most trustworthy and innovative information here, so that scientists and professionals can make critical decisions with advance scientific discoveries.
MEJAST uses various user-friendly modern technologies to broadcast and multi-cast world-class information with a view to ensure it reaches to each and every one of global community of scientists, doctors, researchers, educators and decision-makers without any barriers or boundaries for optimum utilization of valuable explorations in various research fields.
Vision: We strive to utilize our best available resources and efforts to improve quality of our authors constantly. We partner with professionals in research and technical communities to understand and ascertain how they work and what they need, so that we can develop techniques and produce research which help them to be more effective. We distribute information and contribute to a common goal of advancing research and share the benefits such as progress, prosperity and potential for incremental growth which that brings for entire research society, in a long-term manner.
Middle East Journal of Applied Science & Technology publishes only cutting-edge articles and is currently being indexed in Google, Google Scholar, Elsevier SSRN, Crossref, Slideshare, Academia, Researchgate, Semantic Scholar, Scribd, Issuu, Worldcat, etc.
The primary step by our quality maintenance team before starting the review process.View More
Freely available on online upon publication without any Limitations.View More
Maintaining the high standards of peer review while enhancing the quality of the review process.View More
Submit your manuscript through our online submission portal.Submit Now
A Brief Survey on Recommendation System for a Gradient Classifier based Inadequate Approach System
R.Sowmya, Dr.T.Ananth Kumar, Dr.R.Rajmohan, Dr.P.Kanimozhi, Dr.Christo Ananth & Sunday A. AJAGBE
Page No. 01-08
Abstract: Recommender systems are a common and successful feature of modern internet services. (RS). A service that connects users to tasks is known as a recommendation system. Making it simpler for customers and project providers to identify and receive projects and other solutions achieves this. A recommendation system is a strong device that may be advantageous to a business or organisation. This study explores whether recommender systems may be utilised to solve cold-start and data-sparsely issues with recommender systems, as well as delays and business productivity. Recommender systems make it easier and more convenient for people to get information. Over the years, several different methods have been created. We employ a potent predictive regression method known as the slope classifier algorithm, which minimises a loss function by repeatedly choosing a function that points in the direction of the weak hypothesis or the negative gradient. A group that is experiencing trouble handling cold beginnings and data sparsity will send enormous datasets to the suggested systems team. The users have to finish their job by the deadline in order to overcome these challenges.
Perception of Students and Teachers Regarding Online Teaching-learning During Covid-19 at University Level
Tanzil Irfan & Muhammad Asif Raheem
Page No. 09-19
Abstract: The COVID-19 pandemic has led to a significant shift towards online teaching-learning practices, disrupting traditional methods at the university level. This review analyzes 35 studies using content analysis to understand the perceptions of students and teachers towards online learning during this time. The findings indicate that the shift to online learning has created both challenges and opportunities for students and teachers. For students, challenges included technical issues, lack of social interaction, and reduced motivation, while opportunities included flexibility, self-paced learning, and increased access to resources. For teachers, challenges included adapting to online platforms, providing effective feedback, and maintaining student engagement, while opportunities included innovation, creativity, and improved teaching skills. Factors that influenced perceptions of online teaching-learning included technology infrastructure and accessibility, student and teacher demographics and background, institutional policies and support, and sociocultural and environmental factors. The review recommends improving the quality of online teaching-learning experiences by providing adequate technological support and training for both students and teachers, promoting interaction and engagement, and providing effective feedback. This study has significant implications for the field of education, emphasizing the need for continuous adaptation and improvement to ensure equitable access to education for all students. This review provides valuable insight into the perceptions of students and teachers towards online teaching-learning during COVID-19. However, limitations and challenges of the study include the limited number of studies analyzed and the heterogeneity of the findings. Future research should focus on the long-term impact of online teaching-learning on student and teacher performance, engagement, and satisfaction, as well as the implications for policy and practice. Overall, the review underscores the importance of considering the various factors that affect the perceptions of online teaching-learning and the need for continuous adaptation and improvement to ensure equitable access to education for all students.
Yield Characteristics of Mutiara Merah Rambutan Varieties (Nephelium lappaceum) Planted in Marginal Soil
Khairol, I., Fadzlirahimi, I., Nordin, M.A., Muhammad Akmal, M.S. & Nor Hadijah. A.
Page No. 20-28
Abstract: The study was started to assess the early performance of rambutan yield characteristics planted on marginal sandy tin-tailing soil. The experiment was carried out for one year in a plot of 4-year-old rambutan cultivar at MARDI Kundang, Rawang, Selangor, Malaysia. Varieties of Mutiara Merah were used. Data from the plants as a measurement of yield characteristics was recorded. Mutiara Merah proved that it can be well-yield and cultivated on sandy tin-tailing soil. Mutiara Merah showed that it can be planted and farmed effectively on sandy tin-tailing soil, according to the results of the previous research. It can grow and be useful in boosting rambutan yield. Taking into account the fruit yield parameters as well as yield character components parameters such as fruit weight, seed weight, fruit diameter, flesh thickness, brix, and flesh weight, it can be concluded that rambutan cultivation in marginal tin-tailing soil was found promising for producing higher yields. More field studies are needed to standardize agro-techniques and establish the fertilizer requirements of chemical and organic fertilizers for higher yield in other marginal soils such as peat, bris, and acid sulphate soil, as well as create various value-added products to utilize excess produce.
Prof. Dr. Idress Hamad Attitalla
Faculty of Medical Technology (Dean), Omar Al-Mukhtar University, Libya.
Dr. Parichat Phumkhachorn
Faculty of Science, Ubon Ratchathani
Dr. Stefano Farne'
Department of EC & BE,
University of Pavia, Italy.
Dr. Ayman Elshenawy Elsefy
Systems and Computers Engg. Department,
AL Azhar University, Egypt.
Prof. Dr. Tamaz CHELIDZE
Ivane Javakhishvili Tbilisi State
Dr. M.V. Raghavendra Rao
Apollo Institute of Medical Sciences Education
and Research, HYD, India.
Dr. Kausalyah Venkatason
College of Engineering,
Universiti Teknologi MARA, Malaysia.
Dr. Narushan Pillay
University of KwaZulu-Natal,
Durban, South Africa.
Dr. Abba P. Obouayeba
Jean Lorougnon Guédé University (Daloa, Côte
d’Ivoire), Haut-Sassandra, Ivory Coast.
Dr. Philippe E. Mounmbegna
Professor of Biochemistry, Madonna
University, Rivers State, Nigeria.
Dr. Anil Lamba
Practice Head–Cyber Security,
EXL Service Inc., NJ, USA.
Dr. Kamal Shayegh
Department of Foreign languages,
Bilim Evi Organizing Ltd., Ankara, Turkey.
Dr. Peter Ogbuna Offor
Metallurgical & Materials Engg. Department,
University of Nigeria, Nsukka, Nigeria.
Dr. Amando P. Singun, Jr.
Department of Information Technology,
Higher College of Tech., Muscat, Sult. of Oman.
Dr. S. Karpagaselvi
School of Electrical and Computer Engineering,
Ethiopian Inst. of Tech. - Mekelle, Ethiopia.