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1978 articles for “performance studies” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Dealing with Hardware of the Computers: An Analytical Study
Abstract: The evolution of computer hardware has been pivotal in shaping modern computing capabilities, impacting both personal and professional spheres. This study offers a thorough overview of essential hardware components, such as the central processing unit (CPU), memory, storage devices, motherboards, and input/output peripherals. It explores how advancements in hardware technology, such as the transition from mechanical hard drives to solid-state drives (SSD) and the development of multi-core processors, have enhanced …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 12–21 Read article
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A non-hydrotreated feedstock’s polyaromatic cracking under FCC industrial operating conditions using an equilibrium catalyst
Abstract: Catalytic cracking of non-hydrotreated atmospheric residue’s main polyaromatic hydrocarbon (PAHs) in the presence of an equilibrium catalyst was investigated under industrial operating conditions. During the fluid catalytic cracking process, the catalyst that presented the key factor in hydrocarbon cracking (aromatic by hydrogen transfer reaction) quickly deactivated and compromised the process’s performance due to its acid surfaces and pores covered by the polyaromatic species. A deep study of the catalyst behavior …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 1, 2025 · pp. 10–26 Read article
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Responses of Phytoplankton Community Structure to Polycyclic Aromatic Hydrocarbon Constituents in Imo River, Oyigbo, Niger Delta, Nigeria
Abstract: Phytoplankton perform a pivotal role in the food chain and serve as indicator species in environmental studies. Polycyclic aromatic hydrocarbons (PAHs) are toxic group of divergent chemicals with two or more aromatic rings coalesce side by side representing serious persistent organic contaminants posing environmental risk to aquatic life and human. Imo River receive contaminants from illegal oil refinery. The study was conducted to assess the responses of phytoplankton community structure …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 1, 2025 · pp. 45–53 Read article
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Synapse: Enhancing Collaborative Learning Through Adaptive Real-Time Communication for Educational Environments
Abstract: Synapse is a cutting-edge, real-time collaborative learning platform developed to overcome some of the most pressing challenges faced by current online education systems, such as limited student interaction, lack of engagement, and insufficient opportunities for real-time communication. By integrating a combination of tools such as video conferencing, instant messaging, and interactive social media-style features, Synapse promotes active participation and peer-to-peer collaboration among learners. One of the platform’s standout features is …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 24–30 Read article
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Enhancing Sustainability and Safety in India's Process Industry Through Targeted Innovations
Abstract: The process industry operates within a highly intricate and high-risk environment, necessitating well-structured strategies to safeguard workers, maintain safety standards, and preserve environmental integrity. This study explores the impact of diverse safety interventions designed to enhance health, safety, and environmental performance. It evaluates multiple approaches, including engineering solutions, procedural controls, protective gear, and behavioral adjustments, aimed at mitigating risks such as chemical spills, fires, explosions, equipment failures, and occupational health …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 22–36 Read article
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Development of Self-Healing Circuit Boards Using Shape Memory Polymer Composites
Abstract: This study investigates the influence of temperature, humidity, and nanofiller type on the electrical and structural performance of advanced polymer nanocomposites for self-healing circuit applications. Particular attention was given to conductivity retention and the morphological behavior of carbon nanotubes (CNTs), graphene, and silver nanoparticles (AgNPs). Results show that conductivity decreased under elevated thermal–humidity conditions, reflecting the role of environmental stress in material degradation. Among the tested systems, AgNP-based composites achieved …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 746–770 Read article
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Optimizing Marketing Campaigns Using Random Forest and A/B Testing
Abstract: Marketing initiatives play a vital role in driving business growth by reaching targeted consumer segments through tailored strategies across multiple channels. The success of these initiatives is influenced by various factors, including the type and duration of the campaign, the characteristics of the target audience, the communication channels employed, and the overall efficiency of each strategy. These factors collectively impact key performance metrics such as conversion rates, customer acquisition costs, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 01–09 Read article
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A Study on Leveraging Sensors and AI in Insect-Inspired Robotics for Unstructured Environments: Bio-Inspired Autonomy
Abstract: Insects, with their unparalleled agility, resilience, and highly efficient sensory-motor control in complex, unstructured environments, offer a rich blueprint for the next generation of autonomous robots. This study explores the design, implementation, and potential of insect-inspired robots, focusing on the synergistic integration of miniaturized sensor arrays and advanced Artificial Intelligence (AI) algorithms. We delve into bio-mimetic sensing, drawing inspiration from compound eyes, olfactory systems, and tactile hairs, to equip robots …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 7–21 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Evaluation of Drug Utilization Patterns and Prescription Trends in Patients with Hypothyroidism and Hyperthyroidism in a Tertiary Care Hospital
Abstract: Background: Endocrine disorders affecting the thyroid gland represent some of the most frequently encountered conditions globally, necessitating prolonged therapeutic intervention and vigilant clinical surveillance. The evaluation of Drug utilization patterns (DUE) serves an essential function in examining prescriptive behaviours and promoting appropriate pharmaceutical management. Objective: To evaluate drug utilization patterns, prescribing trends, and rationality of therapy in patients with hypothyroidism and hyperthyroidism. Methods: A prospective, cross-sectional observational investigation was performed …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 1–5 Read article
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Real-Time Deepfake Detection in Video Conferencing Systems
Abstract: Deepfake technology presents non-exemplary threats to video conferencing platforms, enabling advanced fraud, impression and misinformation campaigns worth billions annually. Current detection methods either exhibit latencies exceeding 100ms or rely on server-side cloud processing, raising privacy concerns. This paper presents DeepConfGuard, a lightweight hybrid architecture combining MobileNetV2 for spatial feature extraction, a bidirectional LSTM with attention for temporal modelling, and EfficientNetV2 for refinement. It reaches 94.8% accuracy with 85 ms end‑to‑end …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Experimental Analysis of Concentric Heat Exchanger with Dimpled Tube
Abstract: In this work, an experimental and CFD analysis of concentric heat exchangers with smooth andspherical dimple pipes in different mass streams with water as a working medium is presented.Heat transfer technology refers to various methods used to increase the heat transfer ratewithout significantly affecting the overall system performance. Over the past decade, severalstudies have reported indirect technology for heat transfer. The present study on the change ofthe inner tube to …
Published in Journal of Thermal Engineering and Applications · Vol. 7, Issue 3, 2020 · pp. 7–12 Read article
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A Taguchi approach for determination of parametric dependence in absorber tube of parabolic trough solar collector with roughened surfaces
Abstract: The Taguchi experimental design approach is used in this study to offer the ideal design parameters for the absorber tube with roughened surfaces. In order to determine parametric dependence, passive heat transfer augmentation strategies have been used in the parabolic trough receiver in this article by applying the Taguchi approach. So, for better understanding, two case studies are analyzed using two augmentation technique i.e., wire coil and twisted tape inserts. …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 40–47 Read article
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Design of 10T SRAM Cell for Low Power and High Speed Applications
Abstract: AbstractThis paper presents techniques for designing a low-power and higher read speed Static Random Access Memory (SRAM) cell. The cell achieves low power dissipation due to Virtual Ground (VGND) scheme and provides higher read performance due to Forward Body Biasing (FBB). Design metrics of the proposed SRAM cell was studied and compared with that of CON 6T, CON D10T, TG 8T, 9T, and ST-10T SRAM cells. It was observed that …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 16–27 Read article
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Study of Dual Modulus Prescaler for Frequency Synthesizer
Abstract: In recent mobile communication systems high frequency synthesizers are the main building block. Voltage controlled oscillator (VCO) and prescalers are the high frequency parts of a frequency synthesizer. The prescaler reduce high frequencies into low frequencies by a small integer division. For prescaler power consumption, speed and no. of division ratios are the major concerns. The dual modulus prescalers are the frequency dividers which can selectively divide the frequency with …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 2, 2016 · pp. 16–22 Read article
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Photochemical Studies of Photosensitive Compound in DSS Cell
Abstract: Solar energy is our earth’s primary source of renewable energy. It is one of the most resourceful sources of energy for the future. A technique for converting solar energy into electrical energy via formation of energy rich species that exhibit the photo-solar effect is known as DSS cell. Therefore, the present study of DSS cell of Carbol Fuchsin (PC) with efficiency enhancer chemicals such as TEA reductant in alkaline media …
Published in Journal of Semiconductor Devices and Circuits · Vol. 4, Issue 3, 2017 · pp. 21–29 Read article
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Red Mud Particles' Impact on the Mechanical Properties and Microstructure of AA6005 Composites for Brake Rotor Applications
Abstract: There is increasing focus on utilizing industrial waste as reinforcement in metal matrix composites, driven by the demand for eco-friendly and cost-effective materials in automotive applications. With an emphasis on their possible use in braking rotors, this study examines how red mud particles affect the microstructure and mechanical characteristics of AA6005 aluminum alloy composites. Red mud, a byproduct of the Bayer process, is a good low-cost ceramic reinforcement because it …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 573–581 Read article
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Study of 5G Technology and its impacts - Review
Abstract: Digitization is an ongoing revolution in the manufacturing industry. 5G technology is expected to play an important role in providing connectivity. Digitized factories place high demands on technical availability and therefore also on maintenance performance. However, it is difficult to incentivize senior decision makers to invest in maintenance, as impacts are often delayed and difficult to verify upstream. To quantify long-term effects, discrete event simulation (DES) has been identified as …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 3, 2021 · pp. 40–50 Read article
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Potential, Principles, and Applications of Microwave Energy
Abstract: Microwave energy 300 MHz to 300 GHz electromagnetic radiation is essential to modern science and technology. Its applications include telecommunications, medicine, industrial processing, and renewable energy, despite its association with kitchen appliances. Microwave energy generation, transmission, and material interaction are covered in this article. It emphasises wireless communication, radar, medical therapies, and microwave- assisted chemical processes. The study also examines new developments in microwave engineering, such as the creation of …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article