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419 articles for “model selection”
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Design of Decoder Using Domino Logic Circuit for VLSI
Abstract: Dissipation of power from a circuit is the major issue in the design of any VLSI circuit, which decreases the life span of a device/system. NMOS and PMOS circuits are very slow while switching the state from low to high. The speed of the circuit can be increased by decreasing resistance. This process in turn increases the static power dissipation. So, because of these disadvantages, CMOS circuits are used in …
Published in Journal of VLSI Design Tools and Technology Read article
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Design of Decoder Using Domino Logic Circuit for VLSI
Abstract: Dissipation of power from a circuit is the major issue in the design of any VLSI circuit, which decreases the life span of a device/system. NMOS and PMOS circuits are very slow while switching the state from low to high. The speed of the circuit can be increased by decreasing resistance. This process in turn increases the static power dissipation. So, because of these disadvantages, CMOS circuits are used in …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 3, 2021 · pp. 42–54 Read article
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A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Tribological Behaviour of PTFE based Composite Materials with Different Filler Materials: A Combine Numerical and Experimental Approach
Abstract: This study investigates the tribological behaviour of Polytetrafluoroethylene (PTFE) composites reinforced with various fillers, utilizing the Archard wear model to analyse wear mechanisms and predict wear rates. PTFE is widely recognized for its excellent chemical resistance and low friction, but its inherent wear resistance is relatively poor. To enhance its tribological properties, fillers such as glass fibres, carbon fibres, bronze, and graphite were incorporated into the PTFE matrix. In the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 547–557 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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ANN Controlled Plasma Spray Process by using Industrial Waste
Abstract: Plasma spray coating process has become a subject of intense research because it becomes an affordable solution for many industrial applications. The present work aims at developing and studying the industrial wastes (Flay-ash powder mixture) as the coating material, which is to be deposited on Mild Steel and Cupper substrates. To increase the coating deposition efficiency and to decrease the cost of coating process, one of the artificial intelligence (AI) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 3, 2013 · pp. 1–6 Read article
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A Review on Materials and Working Process Parameters of Selective Laser Sintering
Abstract: The potential for additive manufacturing technology to replace some of the current conventional manufacturing methods makes it one of the research and development fields that is expanding quickly. With additive manufacturing, three-dimensional physical models are produced layer by layer from computer-aided design (CAD) models. Fully dense metal things may be produced more rapidly and accurately with additive manufacturing. The Selective Laser Sintering (SLS) procedure uses powder bed fusion, in which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 522–529 Read article
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Comparative Analysis of Disc Brake Using Eco-Friendly Material
Abstract: Brakes are crucial components for slowing or stopping the vehicle. Almost all vehicles use disc brakes. The working of a disc brake is simple; when the brake pedal is pressed, braking pads are forced mechanically against the rotor or disc on both surfaces. The friction generated between the rotor and brake pads slows down the vehicle. The design and materials of disc brakes play a significant role in their performance. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 532–544 Read article
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Knowledge On Biomedical Waste Management Among II Year GNM Students At Dr.B.R.Ambedkar Institute Of Nursing,Bengaluru
Abstract: Objectives: To assess the knowledge on Biomedical waste management among II Year GNM Students at Dr.B.R.Ambedkar Institute of Nursing,Bengaluru.”To associate the knowledge on Biomedical waste management among II Year GNM Students with their selected demographic variables.Hypothesis: There will be a significant association between the level of knowledge on biomedical waste management among II Year GNM Students with their selected demographic variables.Conceptual framework: The conceptual framework based on Health Belief Model, …
Published in Research and Reviews: A Journal of Health Professions · Vol. 13, Issue 3, 2023 · pp. 52–69 Read article
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Advanced Functional Polymers and Their Synergistic Role in Smart Composite Materials for Sustainable Industrial Applications
Abstract: Advanced functional polymers have revolutionized composite materials, offering enhanced properties such as self-healing, electrical conductivity, environmental adaptability, and high mechanical strength. These innovations are reshaping industries by enabling smarter, more efficient, and sustainable solutions. Functional polymers play a pivotal role in producing high-performance composite materials to meet the growing demands of sustainable industrial applications. Significant improvements in material properties mechanical strength, durability, thermal stability, and recyclability are achieved through the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 12–27 Read article
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In Silico Identification of Therapeutic Agents for Dengue Virus by Molecular Docking
Abstract: The dengue virus causes serious health issues and a loss of quality of life. Dengue poses a yearly threat to half of the world’s population. The drugs that are based on allopathy are expensive and also exhibit toxic effects on tissues and biological activities. It is also generally accepted that most pharmacologically active drugs, including those derived from medicinal plants, are isolated from natural sources. The present study is directed …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 · pp. 01–14 Read article
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Experimentation design of various edible and non-edible oils-based biodiesel using response surface methodology
Abstract: The current research presents the experimentation design for three input process parameters for the optimization of biodiesel production. The response surface methodology using CCRD is applied through design expert 6.0.8 tool. The small factorial is applied to reduce the experiments to some extent. It has been observed that response surface methodology is the effective technique to design the experiments as compared to other statistical techniques. Furthermore this tool has been …
Published in Trends in Machine design · Vol. 10, Issue 1, 2023 · pp. 39–44 Read article
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Feature Selection and Weighted Based Optimized Weight based Multi-Tier Stacked Ensemble (WMTSE) Classification for Twitter Sentiment Analysis
Abstract: AbstractThis research work concentrates on both feature selection and classification methods for utilizing twitter data. A new classifier is introduced for classifying “tweets” into positive, negative and neutral sentiment. The system contains four steps: Preprocessing by Tokenization, Text Cleaning, Part of Speech (PoS) Tagging, Stemming and Stop Words Removal, Feature Extraction by Bag-of-words (BoW), Lexicon-based features and Term Frequency- Inverse Document Frequency(TF-IDF), Feature Selection by Binary Swallow Swarm Optimization (BSSO) …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 20–23 Read article
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Study to Assess the Compliance of Medical Regimen of End Stage Renal Clients on Hemodialysis in Selected Hospitals of Amritsar Punjab
Abstract: Study was undertaken with purpose to assess the compliance of medical regimen and bio-psychosocial problems of End stage renal clients undergoing hemodialysis. The conceptual framework adopted for the study was based on Rosenstoch’s (1974) and Becker’s (1975) health belief model. A descriptive research design was used to conduct study on 100 end stage renal clients undergoing hemodialysis selected by purposive sampling method from nephrology units of selected hospitals, Amritsar, Punjab. …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 1, 2015 · pp. 21–28 Read article
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Progress in Renal Tumor Surgery: The Role of 3D Surgical Planning in Partial Nephrectomy
Abstract: Renal cell carcinoma is the most common form of kidney cancer, representing 2–3% of global cases, with the highest incidence in Western Europe. For small renal tumors, partial nephrectomy is the preferred treatment, where the tumor is surgically removed. This procedure does not affect oncological outcomes, allowing part of the kidney to remain functional. During tumor removal, the surgeon minimizes excessive bleeding and improves visibility by cutting off the arterial …
Published in Research and Reviews : Journal of Surgery · Vol. 14, Issue 3, 2025 · pp. 35–40 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Designing a Pure Talent Management Model in the Growth Centers of Technological Units of Islamic Azad University with the Foundation's Data Approach
Abstract: Talent management is one of the management fields that has experienced the greatest growth in the last two decades. Due to its competitive nature, for the first time the concept of talent management was proposed in private organizations and large multinational companies and was widely welcomed. Therefore, the main goal of this research is to design a lean talent management model in Islamic Azad University technology development centers with a …
Published in International Journal of Sustainability · Vol. 1, Issue 1, 2024 · pp. 45–50 Read article
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Employee Well-Being: Deep Learning Approaches to Stress Detection
Abstract: Stress has become a major concern for employee health, productivity, and overall well-being in today's fast-paced work environment. It is a growing global issue, affecting both individual employees and the productivity of organizations. Work-related stress occurs when the demands of a job surpass an individual's ability to manage, whether because of long hours, overwhelming responsibilities, or other pressures. Factors such as conflicts with coworkers or supervisors, constant changes, and job …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 52–58 Read article
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A Systematic Review on The Role of Artificial Intelligence in Assisted Reproductive Technology
Abstract: Artificial Intelligence (AI) has significantly transformed Assisted Reproductive Technology (ART) over the past five years, enhancing diagnostic accuracy, treatment personalization, and overall success rates. AI-driven algorithms and machine learning models have been integrated into various aspects of ART, including sperm selection, embryo grading, and predicting implantation success. Deep learning techniques have improved image-based embryo assessment, reduced human subjectivity and increased efficiency. Additionally, AI-powered predictive analytics have helped optimize ovarian stimulation …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Plastic Recycling Process Using Fuzzy Analytical Hierarchy Process
Abstract: Recycling is known to most people as an activity in domestic waste separation with huge financial benefits. However, material reclamation flows at many scales play important roles in a number of industries. The waste generated from the plastic is a huge some, in which polyethylene is 34% of total plastic waste. So it is highly crucial to select the best plastic recycling process. Fuzzy AHP is a synthetic extension of …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 2, 2015 · pp. 17–22 Read article