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1143 articles for “research performance”
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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A Comprehensive Survey on Detection of Video Transitions
Abstract: Video shot boundary detection (SBD) is a fundamental task in the field of video processing and analysis. It plays a critical role in various video applications such as content-based video retrieval, video indexing, editing, summarization, and browsing. Identifying shot boundaries helps segment a continuous video stream into distinct shots, each representing a meaningful visual unit. This segmentation is essential for organizing and interpreting video data efficiently. This study provides an …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 17–26 Read article
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Sustainable Supply Chain Models for Polymer and Composite Manufacturing: A Data-Driven Assessment of Circular Material Flows
Abstract: Polymer and composite manufacturing is faced with growing demands in waste reduction, resource management, and making a shift towards circular economy principles. Although urgent, the adoption of data-driven tools in each step of a supply chain to facilitate efficient cyclic material flows is low. This paper designs and empirically analyzes sustainable supply chain design in polymer and composite production with a focus on digital traceability, closed-loop and material recovery, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 54–71 Read article
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Virtual Reality Based Decentralized Educational Art Gallery
Abstract: One can experience the forefront of education by engaging with our virtual reality (VR) powered decentralized educational art gallery. This groundbreaking platform seamlessly integrates VR technology with decentralized networks, crafting an unmatched learning journey. Curated collections of art from diverse cultures and eras can be explored, accompanied by interactive educational modules that deepen one’s understanding of each piece. One can engage with fellow learners in real time, fostering collaboration and …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 2, 2024 · pp. 31–37 Read article
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Power Quality Improvement in Grid-Connected PV Systems using TCSC
Abstract: Power quality issues such as voltage sags, swells, and harmonic distortions pose significant challenges to the stability and efficiency of grid-connected systems. This study presents a simulation and analysis of a Thyristor-Controlled Series Capacitor (TCSC) for mitigating voltage sags and swells, thereby enhancing overall power quality. A grid-connected photovoltaic (PV) system integrated with a TCSC is modelled and simulated using MATLAB/Simulink to evaluate its performance under diverse operating conditions. The …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
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Optimization of Robotic Path Planning Algorithms for Autonomous Material Handling Systems
Abstract: For autonomous systems for handling materials (AMHS) to operate as efficiently as possible in industrial and logistical settings, robotic route planning is essential. This study examines many robotic route planning algorithms, emphasizing their use, ways of optimization, and difficulties in material handling systems. To improve the effectiveness, precision, and computational viability of these algorithms, the study also examines a number of optimization strategies, including machine learning, parallelization, heuristic search, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 15–20 Read article
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Extraction of Impacted Lower 3rd Molars immediately after the Single Visit Endodontic treatment of 2nd Molar - A Case Series
Abstract: Patients who visit a dental clinic often anticipate fewer appointments and quicker recovery times. This expectation is particularly relevant when discussing impacted lower third molars in conjunction with decayed second molars. Dentists often struggle with the decision of whether to start endodontic treatment on the second molar or to proceed with extracting the third molar. This dilemma arises due to the absence of sufficient research or documentation specifically addressing the …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 6–11 Read article
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Integrating AI and ML in Tribology: A Review of Current Trends and Future Prospects
Abstract: This review paper explores the growing integration of artificial intelligence (AI) and machine learning (ML) within the field of tribology. Tribology, the study of friction, wear, and lubrication, is crucial for Improving the performance and longevity of mechanical systems. This review explores the role of AI and machine learning techniques, including artificial neural networks (ANNs), support vector machines (SVMs), and physics-informed machine learning (PIML)can be used to solve difficult tribological …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 56–60 Read article
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Leveraging Origami for Space Efficiency: A Comprehensive Review of Its Role in Aerospace
Abstract: Originating in East Asia, origami has developed beyond its original artistic medium to play a significant role in the design of adjustable systems, especially in the sector of space engineering. Due to tight weight and space constraints, these structures which are essential for aviation and spacecraft make effective use of the geometric qualities of origami. This study provides a summary of recent research, emphasizing the benefits, technical applications, and uses …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 43–50 Read article
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Analysis of Sound Transmission Loss in Hybrid Mufflers for Automotive Applications
Abstract: An exhaust system's noise level can be reduced with the use of a muffler. There is general recognition that baffled exhaust mufflers reduce noise emissions and increase the loss of sound transmission. The reduction of sound transmission can be further achieved by inserting sound-absorbing materials inside the muffler. Exhaust muffler systems with strategically positioned baffles have been shown to effectively reduce noise emissions, thereby improving acoustic performance. Baffles divert and …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 314–322 Read article
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Pharma Guard: Smart Medication Management System
Abstract: Pharma Guard Smart Medication Management System presenting a comprehensive overview of an innovative technology designed to revolutionize medication management in healthcare settings. In an era of advancing digital solutions, the Pharma Guard system offers a sophisticated approach to ensuring medication safety and adherence. Through the integration of smart technology, including internet of things (IoT) devices and machine learning algorithms, Pharma Guard enables real-time monitoring, tracking, and management of medication consumption …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 30–37 Read article
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MentaLLaMA: Advancing Mental Health Insights with Instruction-Finetuned Large Language Models
Abstract: The growing prevalence of mental health challenges in contemporary society has highlighted the urgent need for advanced, interpretable, and reliable artificial intelligence solutions that can support mental health assessment and intervention. In response to this need, this research introduces a novel collection of open-source, instruction-tuned large language models (LLMs) specifically designed to facilitate transparent and accurate mental health evaluations. Leveraging a newly developed dataset, which integrates multiple tasks and diverse …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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Revolutionizing Geopolymer Composites: Unveiling Intelligent Wall Facades and Precision PZT Sensors for Vibration Analysis
Abstract: Evaluating the mechanical performance and environmental benefits of geopolymer composites is imperative for sustainable alternatives in construction. This study presents an innovative circular PZT-based sensor that effectively captures transient vibrations within concrete structures, demonstrating its validity in comparison to standard surface-mounted accelerometers. The research also elucidates the influence of sensor orientation on capturing various vibrational modes of concrete. Furthermore, the embedded PZT sensors provide valuable insights into the evolving mechanical …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 59–73 Read article
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Experimental Research on the Strength Properties of Concrete with Recycled Aggregate, Pond Ash, and Rubber Powder Replaced in Part for Concrete Materials in Standard Grades
Abstract: Concrete, a fundamental material in modern construction, poses environmental concerns due to its significant carbon footprint. To mitigate this impact, researchers explore alternative materials like fly ash, GGBS, alcofine, and rubber powder as cement replacements. This study examines the durability and strength of concrete that contains recycled aggregate, pond ash, and waste rubber powder. Waste rubber, abundant from industrial and automotive sources, poses disposal challenges. Pond ash, a byproduct of …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 11–21 Read article
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Implementation of a Smart Helmet for Safety and Monitoring using IoT and Sensor Integration
Abstract: The Smart Helmet is a revolutionary safety helmet that incorporates advanced technology to advanceuser protection, connectivity, and real-time awareness. The helmet, intended for motorcyclists,cyclists, and workers, comes with integral sensors for impact sensing and alcohol level checking, GPS tracking, Bluetooth voice communication, and monitoring of vital signs. The features combine to provide smart accident detection and avoidance, hands-free talk, and real-time location tracking. In case of an accident or dangerous …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 2, 2025 · pp. 15–25 Read article
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MIRDcalc & OLINDA/EXM Dosimetry Software Analysis by SPECT/CT Scan Data of Lu-177 DOTATATE Radionuclide Therapy of NET Patients
Abstract: Accurate dosimetry is essential in nuclear medicine for optimizing radionuclide therapies and ensuring patient safety. In Radiopharmaceutical dosimetry the Medical Internal Radiation Dosimetry (MIRD)Society is the pioneer in organ-level dosimetry providing the fundamental basis for commonly used clinical and research dosimetry software like MIRDOSE and OLINDA/EXM. Recently, in MIRD Pamphlet No. 28, Part 1, the MIRD committee of the Society of Nuclear Medicine and Medical Imaging presented a new Software …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 48–63 Read article
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Maintain Attendance Using Image Processing Technique
Abstract: Attendance tracking stands as a pivotal pillar in organizational management, bearing significant implications for operational efficiency, resource allocation, and fostering accountability. Traditional methodologies for attendance maintenance frequently exhibit deficiencies in terms of precision, security, and scalability, thus necessitating the exploration of avant-garde solutions. This research endeavors to introduce a pioneering approach to attendance upkeep, harnessing the prowess of image processing techniques synergized with artificial intelligence (AI) algorithms to surmount prevailing …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 29–34 Read article
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Traffic Detection Algorithms Analysis using ML
Abstract: It is difficult to watch traffic on crowded roads. Traffic monitoring procedures are time-consuming, expensive, labor-intensive, and require human operators. The limited accessibility hindered the storing and processing of large-scale video streams. Nonetheless, it is now possible to employe video feeds from traffic monitoring systems for number plate recognition, object tracking, traffic behavior analysis, and surveillance. Static image recognition and vehicle identification in a traffic surveillance system are very useful …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Mechanical Analysis and Advanced Manufacturing of Eco-Friendly Groundnut Shell Powder Reinforced Epoxy Composites
Abstract: Polymer composites reinforced with natural materials are gaining significant attention because of their eco-friendly nature, cost-effectiveness, and favorable mechanical properties. This research explores the creation and mechanical analysis of epoxy composites strengthened with groundnut shell powder (GSP), exploring both untreated and benzoyl chloride-treated GSP variations. The research emphasizes utilizing agricultural waste material while achieving enhanced mechanical properties through surface modification and advanced fabrication techniques. The composites were manufactured using the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 174–185 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article