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24 articles for “ADAMS”
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Effects of Boko Haram and Environmental Hazard on the People of Borno and Adamawa State, Nigeria
Abstract: This study focuses on the effects of environmental hazards and Boko harams on the people of Borno and Adamawa State. Environmental hazards and Boko haram disasters especially, those that occur as a result of natural phenomena as one of the greatest threats to humanity and economic development. Causes and the effect of Boko Haram and the Environmental hazard were studied. Man-made disasters such as conflicts, crisis and wars also use …
Published in International Journal of Climate Conditions · Vol. 2, Issue 1, 2025 · pp. 35–42 Read article
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Knowledge, Attitude and Perception of Students Towards Abortion in Chrisland University
Abstract: Abortion is regarded as a public and maternal health problem. In contemporary society, abortion remains a deeply divisive and complex issue, with implications for individual autonomy, reproductive rights, and public health. Among students, exploring knowledge, attitudes, and perceptions towards abortion is imperative given the lack of comprehensive understanding within this demographic. Despite being a demographic characterized by diversity in beliefs, values, and experiences, there exists a significant gap in research …
Published in International Journal of Women's Health Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 10–30 Read article
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Experimental Investigation of Date palm Leaf Fiber reinforced with polymer matrix composite.
Abstract: The demand for composites incorporating robust fibers is significant across diverse industries, driven by the favorable attributes of strength, lightness, and cost-effectiveness. Within GCC countries, date palm (DP) serves as a valuable source of cellulosic fibers, highly esteemed for its widespread availability. These fibers can be sourced from midribs, spadix stems, leaflets, and mesh. Date palm leaf fibers are becoming more and more popular as a way to strengthen composite …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 40–48 Read article
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Production of Floor Tile Using Recycle Low Density Polyethylene And Groundnut Shell as a Filler
Abstract: The production of flow tile using recycled low density polyethylene and groundnut shell as filler with the particle size of 120µm was carried out in this project . 10 pphr of all the fillers were weighed and mixed with recycled low density polyethylene on two roll mill machines. The result on this work showed that on FTIR five functional groups were identified and they are; OH, C-H, CH2/CH3, C-O, C=H. …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 Read article
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Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques
Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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Effect of Malaria Endemic on Socio-Economic Activities in South-East Nigeria: A Study from 2012 to 2023
Abstract: The research investigated the effects of malaria on socio-economic activities in South-East Nigeria between 2012 and 2023, emphasizing the effectiveness of different malaria management strategies. The analysis utilized both primary and secondary data, employing frequency tables and a five-point Likert scale to gauge respondents' levels of agreement. Furthermore, multiple regression models were utilized to explore the relationships among the variables.. Findings indicated that while diverse malaria interventions had a positive …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 Read article
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Carbon Capture Technologies: Innovations, Challenges, and Environmental Implication
Abstract: This review work provides a comprehensive overview of carbon capture and storage (CCS) technologies, their status, and future directions. It examines various capture methods, including pre-combustion, post-combustion, oxyfuel combustion, and direct air capture, as well as emerging and hybrid technologies such as metal-organic frameworks, ionic liquids, and microencapsulation. The study discusses the limits of current technologies and attempts to point out innovations needed to ameliorate these challenges. It also explores …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 1, 2025 · pp. 7–18 Read article
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Comparative Analysis of Kinetic Models for Simulation of Biogas Production from Cow Dung and Fruit Waste via Anaerobic Digestion
Abstract: This study investigates the optimization of biogas and biofertilizer production from cow dung and fruit waste through anaerobic digestion, utilizing various microbial growth kinetic models. Simulations were conducted using the Monod, Moser, Contois, and Tessier models to predict biogas yield and assess model accuracy. Results indicated that the Tessier model provided the closest fit to experimental data, with a biogas yield of 0.45 m³/kg VS, while the Monod model overestimated …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 47–63 Read article
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Study on Fiber Reinforced Composite Material Cost in Construction Project
Abstract: The primary goal of this research paper is to identify the major causes of fibre reinforced composite material cost overruns in Indian construction projects, as well as the critical success factors that aid in the avoidance of such costs. The critical success factors is reviewed by existing literature. They are used to generate survey and interview questions. The fiber reinforced materials projects using proposed hypothesis and lack of certain critical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 459–466 Read article
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Advancements in Zeolite Catalysis for Efficient Oil Refining and Sustainable Energy Production
Abstract: Fossil fuels remain the primary reliable and cost-effective energy source for maintaining the desired product quality. This dominance stems from advancements in petrochemistry and oil refining, driven by substantial investments in research and innovation. The exceptional efficiency of oil refining is largely attributed to the use of zeolites as catalysts, a breakthrough regarded as one of the most significant achievements in modern chemistry. Their applications span across several catalytic processes, …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 2, 2025 · pp. 35–42 Read article
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Leveraging Deep Learning for Accurate Weed Identification
Abstract: Weed control is very important for all types of agricultural businesses. The project here revolves around the application of computer vision techniques and, more concretely, deep learning techniques, for the effective recognition and classification of weeds. The EfficientNetB4 architecture is an appropriate backbone as its scalability and performance optimization is adequate. The modifier used is Adam optimization algorithm which will serve as a pre- processor for the model. Weeds at …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 90–99 Read article
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Bayesian Optimization–Driven Operating Parameter Tuning for Maximizing Methane Yield in Anaerobic Digestion
Abstract: To achieve maximum methane production in an anaerobic digestion (AD) process, a combination of various operational parameters must be tuned nonlinearly in the digestion ecosystem. The conventional trial and error optimization methods are slow, resource consuming, and in most instances, cannot model the intricate parameter interaction in biogas production. The current work introduces a Bayesian Optimization-based model to optimize the set of conditions to maximize the level of methane produced …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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An Adaptive and Privacy-Aware Federated Learning Framework for Efficient and Secure Model Training Across Heterogeneous Datasets
Abstract: The problem of efficiency and privacy regarding heterogeneous data in modern distributed machine learning systems is a vital point that should be taken into account. The absence of IID data distribution, client heterogeneity, and privacy invasion during the aggregation model are the bane of conventional federated learning (FL) approaches to learning like FedAvg and FedProx. The paper proposes that the adaptive and privacy-aware FL framework (AFL-P) can be used to …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 16–25 Read article
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Parallel Privacy-Preserving Adaptive Federated Learning on GPU-Enabled Multi-Core Architectures
Abstract: The increasing deployment of parallel and distributed intelligent systems has intensified the need for privacy-preserving learning frameworks that can exploit multi-core and GPU-based architectures without centralizing sensitive data. This work proposes a parallel Adaptive Federated Learning (AFL) framework that integrates Differential Privacy and Secure Aggregation over heterogeneous multi-core and GPU platforms to enhance both data confidentiality and convergence efficiency. The framework dynamically adjusts client participation, learning rates, and aggregation weights …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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Design and Performance Evaluation of PLA-based Umbrella Wheels for Stair-Climbing Robotic Applications
Abstract: Staircase climbing robots require a complex design capable of navigating various stair configurations. A crucial component of such robots is the wheel mechanism. This paper focuses on the umbrella wheel mechanism and its application in staircase climbing robots. In this study, a PLA–based umbrella wheel structure is developed and fabricated using fused deposition modeling (FDM) for application in stair-climbing robots. The umbrella wheel geometry enables transformation from a circular rolling …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 808–824 Read article
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Application of Resource Allocation Similarity Based Link Prediction in Wireless Networks
Abstract: Link prediction in wireless networks plays a crucial role in predicting missing connections within multiplex networks. This study focuses on the utilization of similarity-based link prediction methods in wireless networks. These methods assume that the likelihood of linkage between nodes is determined by their similarity, based on shared features. Several similarity measures, such as Common Neighbors (CN), Preferential Attachment (PA), Adamic-Adar (AA), and Resource Allocation (RA) indices, are commonly employed …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 37–42 Read article
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A Sociolinguistic Perspective on Hausa Loanwords in the Kəlba Language
Abstract: Linguistic borrowing is seen as a significant source of language development and enrichment. This study examines Hausa loanwords borrowed into the Chadic language of Kəlba, which is spoken in Gombi, Hong, Maiha, Mubi North, and Mubi South local government areas of Adamawa State, Nigeria. The lingua franca in most of northern Nigeria is Hausa, one of the indigenous national languages of the region. The primary sources of data for the …
Published in Emerging Trends in Languages · Vol. 2, Issue 1, 2025 · pp. 27–32 Read article
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Melanoma Skin Cancer Detection Using Deep Learning
Abstract: Melanoma, a fatal type of skin cancer, is a major global health concern. For better patient outcomes, early and precise detection is essential. A branch of artificial intelligence called deep learning has demonstrated encouraging outcomes in medical image analysis, particularly the identification of skin cancer, in recent years. We present a new method for detecting melanoma skin cancer in this paper by utilizing the ResNet-50 architecture, a deep convolutional neural …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 · pp. 1–9 Read article
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Dynamic Modeling and Simulation of Multi-Body Mechanical Systems: A Comprehensive Review of Methods, Tools, and Applications
Abstract: The dynamic modeling and simulation of multi-body mechanical systems (MBS) form a cornerstone in modern mechanical engineering, enabling in-depth analysis of the kinematic and kinetic behaviors of interconnected rigid and flexible components. MBS are foundational to a range of critical applications, from automotive suspensions and aerospace mechanisms to robotics and biomechanical structures. As system complexity and performance requirements increase, accurate and scalable modeling techniques are essential for both design validation …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 35–42 Read article