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1355 articles for “system evaluation”
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Generative AI for VR: Creating Physically Realistic Models
Abstract: Virtual Reality has revolutionized the traditional learning system by creating and interactive and engaging environment. However, its ability to show precise real-world experiences is limited due to lack of physical realism. This study investigates the potential of Generative Adversarial Network (GAN) in creating physically realistic 3D models. Proposed system incorporates deep learning techniques along with physics-based constraints to enhance model’s accuracy and usability. To achieve this, experiments were conducted on …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 14–22 Read article
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A Comparative Study on Particle Swarm Optimization for Transmission Congestion Management
Abstract: This research aims to propose solution to the issue of transmission congestion management based on optimal generation rescheduling using different variants of particle swarm optimization (PSO). In deregulated electricity market era, congestion management plays an essential role to accommodate all transactions within reliable system operations. Intending to reduce the congestion cost, optimum numbers of generators are selected based on generator sensitivity factor (GSF) to perform active power generation rescheduling. The …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 86–93 Read article
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Computational Screening of Vitex negundo Compounds for Potential Arthritis Therapies in India
Abstract: Objective: Arthritis is a pervasive medical condition that manifests as inflammation and discomfort within the joints. As of September 2021, arthritis has affected an estimated 180 million people in India, making it a substantial public health concern with a considerable impact on individuals' quality of life and healthcare systems. Therefore, using molecular docking, drug-likeness prediction, and ADME analysis, an effort was made to identify natural compounds from Vitex negundo, which …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 01–18 Read article
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Corrosion Inhibition of Mild Steel in Acidic Medium using Essential Oil of Clove (Syzygium aromaticum) as Inhibitor
Abstract: This research work deployed a weight loss technique in evaluating the feasibility and efficiency of using essential oil of clove as corrosion inhibitor due to its anti-oxidant properties. Prepared sample of mild steel was exposed to acidic medium in the absence of inhibitor and the corrosion rate was evaluated. Subsequently, other samples of the same mild steel were exposed to acidic environment in the presence of varied concentrations of the …
Published in Journal of Catalyst & Catalysis · Vol. 4, Issue 1, 2017 · pp. 30–36 Read article
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DATABASE-DRIVEN ENERGY MANAGEMENT IN ELECTRIC VEHICLES
Abstract: With the growing concern over environmental pollution, there is an increasing demand for sustainable and eco-friendly technologies. Among these, electric vehicles (EVs) have emerged as a promising alternative to conventional fossil-fuel-based transportation. However, as EV adoption accelerates, efficient energy management becomes critical to enhance vehicle performance, extend battery life, and ensure overall system reliability. This research presents a Database-Driven Energy Management System (DBEMS) that leverages real-time data from EV components …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 19–24 Read article
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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Economic Load Dispatch with PEV Using Evolutionary Techniques
Abstract: In this paper, the Economic Load Dispatch (ELD) problem is solved by using four different evolutionary techniques Social Spider Algorithm (SSA), Particle Swarm Optimization (PSO), and Teaching Learning Based Optimization (TLBO) with PEV on 20-unit thermal generation station. The most recent Self-Learning Teaching Learning Based Optimization (SL-TLBO) is introduced, including a weighting factor w for adjusting the learning range. A comprehensive study demonstrates that the unique algorithm has the potential …
Published in Journal of Thermal Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 22–33 Read article
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Extrapolations of Periwinkle Secondary Metabolites as Multitarget Inhibitor of Breast Cancer Proteins
Abstract: Objective: Breast cancer is considered one of the most common and dangerous forms of cancer. It is a significant public health issue on a global scale. The study estimates that 10.0 million people will die from cancer this year, and 19.3 million people will develop the disease overall (BC). In this computation approach, nowadays emphasizes new drug discovery, the target protein epidermal growth factor receptor (EGFR) (5UGB), estrogen receptor (ER) …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 36–49 Read article
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A Comparative Study to Assess the Level of Satisfaction with Nursing Care Services Among the Patients Admitted in the Selected Government and Private Hospital of District Mohali, Punjab
Abstract: Introduction: The global healthcare environment is undergoing significant transformation. Within this dynamic setting, nursing care plays a crucial role in patient outcomes. Today, patient satisfaction with nursing care is widely recognized as a key indicator of overall hospital service quality. Assessing patient satisfaction from a patient-centered perspective has become an essential part of modern quality management systems in hospitals. Since nursing care constitutes a fundamental part of healthcare delivery, its …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 9–16 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 Read article
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Assessment of Several Feed Varieties in Carp Polyculture
Abstract: This six-month aquaculture study evaluated the effects of four distinct feeding treatments on the production and development of a five-species polyculture system comprising common carp (Cyprinus carpio), grass carp (Ctenopharyngodon idella), Rohu, Katla, and Mrigel. The experiment utilized the total volume for eight ponds, each with a volume of 150 m3 is 1200 m3 (cubic meters) to compare: T1 (finely chopped Dubo grass and mash feed), T2 (sinking pellet), T3 …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–6 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Polymer Composite-Supported Jackfruit Peel Adsorbent for Enhanced Copper (II) Removal from Wastewater: Batch Equilibrium and Isotherm Analysis
Abstract: The increasing concern of disposal of copper-containing effluents into the environment has led to heightened interest in designing cost-effective, eco-friendly and scalable adsorbent systems. Traditional metals and synthetically engineered sorbents prove to be effective; however, these systems are energy intensive. Agricultural residues entrapped in polymer composite systems constitute an economically feasible solution to this environmental challenge. This work reports on the design, characterization and performance evaluation of an economical adsorbent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 375–390 Read article
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Numerical Modeling of Elastoviscoplastic Material Model in Strain Space
Abstract: Conventional material non-linear analysis works with stress-space plasticity. It uses yield function, loading-unloading criteria, and flow rule in terms of stress parameters. It shows ambiguity in loading-unloading criteria for softening materials. During such situations, an alternative strain-space formulation becomes quite useful to carry out analysis of such materials. The viscoplastic response of materials requires the time integration of system of non-linear first order differential equations. In viscoplasiticy, the constitutive equation …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 1, 2018 · pp. 9–14 Read article
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Headway Compression during Queue Discharge at Signalized Intersections under Mixed Traffic Condition
Abstract: The evaluation of capacity at signalized intersection is an important component in the planning, design, operation and management of transportation system. Presently, the methodologies available for the estimation of capacity of signalized intersections are based on the concept of saturation flow(s). Saturation flow is the steady maximum queue discharge rate after the green onset. According to the U.S. Highway Capacity Manual, this steady maximum rate is generally achieved after the …
Published in Trends in Transport Engineering and Applications · Vol. 1, Issue 2, 2014 · pp. 15–22 Read article
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Extrapolations of Periwinkle Secondary Metabolites as Multitarget Inhibitor of Breast Cancer Proteins
Abstract: Objective: Breast cancer is considered as one of the most common and dangerous forms of cancer. It is a significant public health issue on a global scale. The study estimates that 10.0 million people will die from cancer this year, and 19.3 million people will develop the disease overall (BC). In this computation approach nowadays emphasises for new drug discovery, the target protein EGFR (5UGB), ER (2QGT), and PI3KA (4OYS) …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 11, Issue 3, 2022 · pp. 22–36 Read article
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Self-tuning Adaptive Control of Rotor Voltage of Doubly Fed Induction Generator in Wind Farms
Abstract: The dynamic performance of a doubly fed induction generator (DFIG) in the wind farms can be enhanced through appropriate converter controls. This article presents a self-tuning control strategy for a DFIG rotor voltage which employs pole-shift technique in the discrete system model. From a large number of simulation studies involving various types of disturbances covering a range of operating conditions, it was observed that the online adaptive model based control …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 1, 2017 · pp. 17–29 Read article
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Reinventing Drug Delivery Through Cutting-Edge Nanotechnology
Abstract: Nanotechnology has emerged as a revolutionary platform in the field of drug delivery, offering novel strategies for the precise, efficient, and controlled delivery of therapeutic agents. The integration of nanocarriers, such as liposomes, polymeric nanoparticles, dendrimers, micelles, and inorganic nanoparticles, has significantly enhanced drug solubility, stability, bioavailability, and targeted delivery to specific tissues or cells. Targeted drug delivery systems based on nanotechnology minimize off-target effects, reduce systemic toxicity, and improve …
Published in Trends in Drug Delivery · Vol. 12, Issue 3, 2025 · pp. 44–61 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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An Insightful Study on SMEDDS Challenges and Potential Strategies
Abstract: Self-microemulsifying drug delivery systems (SMEDDS) have gained attention as an effective approach to enhance the bioavailability of poorly water-soluble drugs. They are innovative lipid-based formulations designed to enhance the solubility, bioavailability, and therapeutic efficacy of poorly water-soluble drugs. The development of SMEDDS involves systematic selection of components based on solubility and emulsification efficiency, followed by optimization of ratios using pseudo-ternary phase diagrams. The resulting formulations are evaluated for droplet size, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 311–334 Read article