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260 articles for “Model Selection”
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Machine Learning Approaches Towards Resume Classification
Abstract: Finding the right person for an open position can be an unnerving task, especially when there are many applicants, and if the recruiter or the Human Resources department must sort and further categorize all those resumes then it will be a labor-intensive, time-consuming, and tiresome task. Additionally, human assessment of resumes may be biased and prone to mistakes. Manually screening the proper candidate's resume from the pool is not practicable; …
Published in International Journal of Electronics Automation · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Balancing Welfare-Productivity Trade-Offs: Logical Frameworks and Strategic Approaches for Sustainable Dairy Development
Abstract: Balancing animal welfare and productivity remains a critical challenge in modern dairy farming. This study explores diverse frameworks for evaluating the welfare-productivity trade-offs essential for achieving sustainable dairy systems. Key approaches are categorized into six thematic areas: animal-centric frameworks, management-oriented models, environmental assessments, economic and policy perspectives, technological innovations, and holistic methodologies. Each framework offers unique metrics and evaluation tools, including behavioral assessments, physiological indicators, precision livestock farming, cost-benefit analyses, …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 14, Issue 2, 2025 · pp. 16–24 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Light-Matter Interactions in Molecular Photochemistry
Abstract: Molecular photochemistry explores the ways of molecules interaction with light, absorb photons, and excited‐state processes, and ultimately conversion of photon energy into chemical change. Core concepts of this innovative and relevant field are matter interaction like electronic, vibrational, and rotational transitions; non‐adiabatic couplings; energy & electron transfer; and light–matter coupling in weak and strong regimes. This article briefly surveys the multiplicity of these interactions, from the fundamentals of photon absorption …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 2, 2025 · pp. 33–42 Read article
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Intercropping Legumes Covers with Maize on Soil Moisture Improvement in Selected Dry Land Areas of Basketo Special Woreda’s, Ethiopia
Abstract: In order to increase land productivity, intercropping offers enough flexibility to grow two or more crops at the same time on the same plot of land. The advantages of intercropping systems have not been thoroughly investigated and are supported by available experimental data. The purpose of this study was to assess how intercropping affects soil moisture conservation in places under moisture stress, which affects land productivity. In this study, experimental …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 3, 2024 · pp. 09–18 Read article
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Machine Learning-Based Approach for Heart Disease Prediction
Abstract: Heart disease is a significant global health challenge, with early diagnosis and prediction being essential for reducing mortality rates. Machine Learning (ML), an efficiently developing field within Artificial Intelligence, provides innovative methods for analyzing complex clinical data to predict heart disease. This review examines the basic machine learning techniques, data, and metrics used in cardiovascular disease prediction. It explores the role of supervised learning, such as decision trees and logistic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 64–73 Read article
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Thermo-hydraulic Performance of Annular-Finned Double-Pipe Heat Exchanger: Numerical and Experimental Investigation of Metallic and Polymer Composite Tube Wall Materials
Abstract: Double-pipe heat exchangers are central to the process industries — dependable, easily maintained, and straightforward to fabricate. Their conventional form relies on metallic tube materials, most often copper or stainless steel. Both metals conduct heat well, but they are dense, prone to corrosion in aggressive service environments, and increasingly at odds with the light-weighting goals that drive modern system design. Fibre-reinforced polymer composites, epoxy-based materials, and thermally enhanced thermoplastics such …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 891–909 Read article
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A Comparative Study Between GSM and CNN to Develop Gesture Detection Based Alert System for Women Safety
Abstract: Women’s safety is a pressing issue in today’s world, and technology can play a crucial role in addressing it. This project introduces a facial expression recognition device that uses Convolution Neural Network (CNN) technology and develop it’s comparison with an expression system with use of GSM is done. Unlike traditional methods relying on manual activation or dedicated devices, this system reacts instantly to threatening situations by recognizing predefined gestures, ensuring …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 24–30 Read article
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Smart Manufacturing with Advanced Polymer Composites: Enabling Industry 4.0 Readiness in Indian MSMEs
Abstract: Thanks to Industry 4.0, manufacturing is now undergoing major changes that highlight using technology, machines, and sustainable solutions. Yet, very few Indian MSMEs can use these technologies due to obstacles like a lack of resources and outdated systems. This research looks at how combining Smart Manufacturing with Advanced Polymer Composites can improve Indian MSMEs’ preparations for Industry 4.0. When APCs are combined with cyber-physical systems, IoT, machine learning, and additive …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 194–216 Read article
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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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Enhancement of the Life of Helical Spring Systems
Abstract: Helical springs are essential mechanical factors considerably employed in automotive, aerospace, and artificial systems because of their capability to store and release energy, absorb shock, and sustain repeated weight cycles. The performance, responsibility, and durability of these springs play a vital part in ensuring the effectiveness and safety of the entire system in which they are integrated. Over time, numerous researchers have focused on strategies to enhance the service life …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 12–24 Read article
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Study of Strength of Composite Laminates with Ply- Discontinuities Using FEM
Abstract: Present research work attempts to understand the effect of ply-discontinuities on the strength of the FRP Composite. Finite Element Analyses have been performed for specimen undergoing four-point bend loading condition using ABAQUS software. Three specimens consisting of different ply sequences, same resin pocket size and location have been considered for the present analysis. Cohesive zone modelling technique is implemented to simulate and predict crack propagation pattern during failure of composite …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 89–98 Read article
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Factors Affecting Coffee Market Supply of Smallholder Farm Household: The Case of Gimbo District Kaffa Zone, Southwest Ethiopia.
Abstract: Abstract This study analyzes the factors influencing the market supply of coffee in selected districts of Gimbo District, Kaffa Zone, and Southwest Ethiopia. Coffee is Ethiopia’s most significant export crop, contributing substantially to the country’s GDP and exhibiting broad genetic diversity. Despite the high production potential of the district, the marketing system remains predominantly conventional, forcing producers to sell through traditional transaction routes that do not offer premium prices, thereby …
Published in Research & Reviews : Journal of Agricultural Science and Technology Read article
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Mechanical Characterization and Machinability Optimization of Stir-Cast Al6061–SiC Metal Matrix Composites
Abstract: This study presents the fabrication, mechanical characterization, metallurgical analysis, and machinability optimization of Aluminum 6061 reinforced with Silicon Carbide (SiC) metal matrix composites (MMCs) at three weight fractions: 5%, 7.5%, and 10%. Composites were manufactured using the stir casting technique, followed by comprehensive mechanical testing (tensile, hardness, and impact), optical microscopy, and scanning electron microscopy (SEM). Machinability was assessed through turning experiments on a lathe using an L9 Taguchi orthogonal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Polymeric Micelles for Medicinal Plant Solubilization and Delivery of Bioactive Compounds
Abstract: This study involved the design, fabrication, and characterization of polymeric micellar nanocomposites utilizing amphiphilic block copolymers to effectively encapsulate and transport hydrophobic phytoconstituents. The selected bioactive molecule is curcumin, a polyphenol with limited water solubility. A polymeric system known as PEG-PCL was utilized to fabricate core-shell nanostructures by a solvent evaporation-induced self-assembly method. The resulting nanocomposites exhibited homogeneity and colloidal stability, characterized by a zeta potential of −18.7 ± 1.4 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 208–219 Read article
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Polymer-Based Ankle-Foot Orthoses: Innovations in Material Selection and Functional Enhancement
Abstract: Ankle-foot orthoses (AFOs) are critical devices in rehabilitative therapy for patients with foot drop due to neurological disorders such as stroke, multiple sclerosis, and cerebral palsy. These conditions impair dorsiflexion, making walking difficult and increasing the risk of falls. Traditional AFOs, often made from rigid thermoplastics, provide support but limit flexibility and patient comfort. Recent advancements in polymer chemistry have introduced innovative materials that enhance the functionality, durability, and effectiveness …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 49–55 Read article
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Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach
Abstract: This research presents a comprehensive analysis of the drying behavior and thermal response of three distinct fabric types: 100% Cotton, 100% Polyester, and a Polyester blend (65/35), under meticulously controlled environmental conditions. The Polyester blend (65/35) consists of 65% Polyester and 35% Cotton, combining characteristics of both fibers. The investigation focuses on understanding how fiber composition impacts drying time, moisture retention, and thermal characteristics. Experimental trials were conducted using standardized …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–11 Read article
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Evaluation of the Formation, Concentration, and Mitigation of Heterocyclic Amines in Selected Nigerian Proteinaceous Delicacies
Abstract: This study characterised the kinetics and concentration profiles of six HCA congeners — 2-Amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP), 2-Amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx), 2-Amino-3,4,8-trimethylimidazo[4,5-f]quinoxaline (DiMeIQx), 2-Amino-3-methylimidazo[4,5-f]quinoline (IQ), 1-Methyl-9H-pyrido[3,4-b]indole (harman), and 9H-pyrido[3,4-b]indole (norharman) — in six Nigerian food preparations (grilling of popular delicacies — including suya, kilishi, asun, and smoked catfish (eja aro)) using validated liquid chromatography–tandem mass spectrometry (LC-MS/MS) under three cooking modalities (charcoal grilling, pan-frying, oven-roasting). The inhibitory potential of five natural marinade formulations — …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 15, Issue 2, 2026 · pp. 1–11 Read article
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Student Academic Achievement Forecast Based on Emotional Intelligence, Personality, Demographic Characteristics and Attitude Towards Education and Future Career
Abstract: This study was aimed at predicting students' academic achievement based on emotional intelligence of personality traits, attitudes to education and future career. The present study was a correlational-analytical study. The statistical population of Zanjan University students in the academic year of 1395-1395 was the sample of 489 people selected by cluster random sampling method. Academic Resilience Scale (ARI) and Schotte Emotional Intelligence Questionnaire and Researcher Attitude Questionnaire were used to …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 25–36 Read article