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401 articles for “pattern analysis”
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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The Power of Narrative: A Mixed Methods Investigation of Storytelling in Social Media Based Social Cause Campaigns and Its Impact on Audience Engagement Among Young Adults
Abstract: Background: The proliferation of digital platforms has fundamentally transformed how social cause organisations communicate with their target audiences. Storytelling has emerged as a strategic tool for driving emotional resonance and behavioural change among young adults a demographic that is both digitally native and increasingly socially conscious. This study investigates (1) how storytelling in social media–based social cause campaigns influences the digital interaction behaviour of young adults, and (2) whether such …
Published in Recent Trends in Social Studies · Vol. 3, Issue 2, 2026 · pp. 37–48 Read article
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Fleet Guard: Advanced Fleet Management and Vehicle Monitoring System
Abstract: FleetGuard: Advanced Fleet Management and Vehicle Monitoring is a game changing IoT solution, crafted using Flutter in the Dart language, set to revolutionize conventional fleet management practices. It seamlessly integrates software and hardware components, with a primary focus on Tire Pressure Monitoring Systems (TPMS) and GPS sensors. This innovative system offers real-time tire pressure monitoring, predictive maintenance, and driver behavior analysis, emphasizing efficiency and safety, ultimately reducing operational costs, and …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 2, 2023 · pp. 18–24 Read article
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Analyzing Failures and Challenges in Oncology: Integration of Artificial Intelligence in Healthcare
Abstract: The present study focused on investigating the challenges and failures that had been embarked during the deployment of artificial intelligence technologies within the field of oncology in healthcare. Through precise research and statistical analysis, we aimed to elucidate the specific circumstances surrounding each failure, providing insights into the root causes, consequences, and subsequent developments. The present study was aimed to offer a detailed understanding of the challenges faced through artificial …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 1, 2024 · pp. 42–50 Read article
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Climate Change & Its Effects on Human Health: A Comprehensive Review
Abstract: Anthropogenic climate change has wide-ranging effects on human health and is a significant worldwide concern. This thorough analysis highlights the connections between environmental, social, and biological elements as it explores the complex implications of climate change on health. Numerous health consequences, such as vector-borne infections, heat-related illnesses, respiratory issues, and mental health issues, can be impacted by shifting precipitation patterns, rising temperatures, and a rise in the frequency of extreme …
Published in International Journal of Climate Conditions · Vol. 1, Issue 1, 2024 · pp. 16–20 Read article
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VHDL-Based Strategies for Protecting IoT Devices from Power and Electromagnetic Side-Channel Attacks: A Study
Abstract: The environment of the Internet of Things (IoT) is rapidly developing, linking billions of devices across a wide variety of disciplines. Furthermore, despite the fact that it provides an unprecedented level of convenience and efficiency, this interconnection also presents a fertile ground for security weaknesses. Side-channel attacks, also known as SCAs, are one of the dangers that pose a considerable risk. These attacks specifically target the cryptographic implementations that are …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 30–40 Read article
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A Survey on Neural Network based Classifier for Arrhythmia Detection
Abstract: Electrocardiogram (ECG) is one of the important diagnostic tool for the detection of the heart problem. Increasing number of cardiac patients need automatic detection techniques for various abnormalities or arrhythmias of the heart to reduce pressure on physicians and share their load. Coronary Care Units (CCUs) emphasizes on the task of accurate analysis of ECG signal at an early stage that can prevent disease, like tachycardia, to escalate there by …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 88–97 Read article
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Estimation of Soil Erosion Using GIS in Pune District, Maharashtra
Abstract: The Varandha Ghats pans approximately 14.62 km 2 , where changes in temperature, vegetation, topography, and soil characteristics are causing continuous soil erosion. Catchment heterogeneity and climatic variations cause spatial variability in hydrological processes. Differences in land use, soil type, topography, and rainfall patterns influence how water moves and accumulates across regions, resulting in diverse hydrological responses. This complexity challenges accurate modeling and effective water resource management strategies across variable …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 26–33 Read article
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Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics
Abstract: Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice. By using advanced techniques like machine learning and deep learning, AI systems help improve the accuracy, speed, and effectiveness of identifying diseases and analyzing medical images. This paper provides a comprehensive overview of the application of artificial intelligence in medical imaging and highlights its growing importance in clinical diagnostics. It discusses how AI-based systems …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 8–13 Read article
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The Influence of Self-Efficacy on Anxiety and Perfectionism among Dancers
Abstract: The world of dance, while driven by creativity, often imposes significant psychological demands on performers. This study explored how self-efficacy influences anxiety and perfectionism—both adaptive (excellencism) and maladaptive—among dancers, with a focus on gender differences. A sample of 120 dancers (60 males, 60 females) was assessed using standardized scales. Relationships and predictive effects were assessed using statistical techniques, such as regression, Pearson correlation, and t-tests. Findings revealed no significant gender …
Published in International Journal of Behavioral Sciences · Vol. 2, Issue 2, 2025 Read article
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Recent Trends in Rotary Kiln and Refractory Material Patterns in Cement Production: A Review Approach
Abstract: The manufacturing of cement and other industrial operations depend heavily on rotary kilns, which use refractory materials to endure high temperatures and challenging chemical conditions. With an emphasis on their effects on durability and operating efficiency, this study looks at the most recent developments in rotary kiln technology and refractory material choices. Various rotary kiln designs, typical refractory material patterns, and the difficulties posed by kiln failures are all covered. …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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MBSR for Better Health: A Narrative Review
Abstract: Introduction: MBSR is a mindfulness-based intervention created by John Kibbat Zinn in the 1970's using the principles of the Buddhist tradition. Since its creation it has found to be effective in various physiological and psychological issues such as cardiovascular diseases, diabetes, blood pressure, hypertension, anxiety, depression, and other ailments. In this particular narrative review, we screened and selected various studies that observed better physiological and psychological health post the MBSR …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 89–98 Read article
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Pedestrian Gait Parameter Measurement Using a Cascade of Edge and Corner Detection Technique
Abstract: ABSTRACTMost modern surveillance systems currently rely upon Closed Circuit TV feeds monitoring system. This report documents a new approach towards automating pedestrian recognition within typical video footage. The proposed work shows how the gait parameters can be measured from the video footage using the mathematical theory of Geometry and computer vision and pattern recognition technique which can be further used for recognize individuals. When people walk normal to the viewing …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 75–88 Read article
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India’s Traditional Medicine Trade (2015–2024): Trends, Regulatory Landscape, and Policy Directions for Sustainable Growth
Abstract: India is a major global supplier of traditional medicine products – including Ayurvedic, Unani, Siddha, homeopathic, and other herbal and plant-based formulations – yet exports continue to face challenges arising from regulatory divergence, heterogeneous quality-control requirements across markets, and raw-material supply constraints linked to biodiversity pressure and fragmented value chains. This paper systematically analyzes India’s import-export patterns for traditional medicine between 2015 and 2024, maps the regulatory landscape (DGFT, Drugs, …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 1, 2026 · pp. 13–18 Read article
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Bonding Strength Characteristics of FRP Cylindrical Composites Under Hygrothermal Loading
Abstract: This study investigates the bonding strength characteristics and stress distribution patterns in fiber-reinforced polymer (FRP) cylindrical composites subjected to hygrothermal loading conditions. A four-phase cylindrical model incorporating AS-Graphite and S-Glass fibers with low modulus epoxy coating was analyzed under four distinct pressure loading conditions (25.984, 38.976, 77.953, and 155.906 MPa). Comprehensive stress analysis revealed significant variations in von-Mises stress, maximum principal stress, and minimum principal stress across fiber, coating, matrix, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 950–967 Read article
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Optimization of Lightweight Polymer Composites Using Finite Element Analysis Machine Learning and Topology Optimization Techniques for Aerospace Applications
Abstract: The advancement of aerospace engineering depends on lightweight polymer matrix composites (PMCs) because they help decrease weight while improving fuel efficiency and payload capacity together with increased structural integrity. Research developed a computer program comprising FEA with ANN and TO optimize high-performance PMCs through integrated design approaches. The combination of Python-controlled LS-DYNA simulations measured hybrid composite laminate resistance to impact while an ANN model obtained data from simulations to forecast …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 693–709 Read article
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Design Optimization of Microstrip Antenna with EBG and DGS Using the Genetic Algorithm to Reduce the Mutual Coupling
Abstract: The purpose of this paper is to construct, create, and reproduction of different antenna structures using electromagnetic band gap (EBG) materials and defected ground structures (DGS). Microstrip antennas are processed in order to improve performance by changing the shape of the geometry of the antenna, in particular to reduce the mutual coupling between the elements. The propagation of electromagnetic waves in a specified frequency range have the unique ability to …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 1, 2016 · pp. 11–30 Read article
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Performance Evaluation of Green Walnut Husk Waste Extract for Inhibiting Aluminium 8088 Corrosion in Acidic Solution
Abstract: The cumulative call for environmental and supportable corrosion inhibitors has obsessed curiosity in exploiting plant-based agronomic surplus resources. Presented research work discovers the corrosion inhibition probable of green walnut husk extract(GWH)—a normal and plentiful agro-waste—on Aluminium 8088 alloy in an acidic medium. Aluminium 8088, however identified for its corrosion resistance, is vulnerable to squalor in highly acidic settings, affectation trials in several industrial claims. GWH extract act as an ecologically …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 45–59 Read article
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Analysing Dietary Patterns and Unravelling the Factors behind Obesity: A Comprehensive Evaluation
Abstract: The purpose of this research paper is to identify the changes that occurred in the food habits of people in the past few years. This research is based on the findings for the evaluation that have been done on the food habits of people in the past few years and the rise of the rate of obesity percentage and the rate of diabetic patients in these years. And finding the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 45–50 Read article
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Charting the Path Forward: An In-Depth Analysis of Breakthroughs and Hurdles in Artificial Intelligence
Abstract: Recent years have witnessed tremendous progress in artificial intelligence (AI), fueled by exponential increases in processing power and data accessibility. These developments have made it possible for AI to be widely used in a variety of industries, such as healthcare, finance, autonomous driving, and more. Significant difficulties are presented by the "black-box" nature of many AI systems, which lack transparency and the capacity to explain. By encouraging algorithms that can …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 13–23 Read article