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1945 articles for “and analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Remote Sensing and GIS-Based Approaches for Soil Salinization Assessment: A Comprehensive Review
Abstract: Soil salinization, a critical environmental challenge, significantly impacts land productivity, agricultural yields, and contributes to desertification, particularly in arid and semi-arid regions. Early detection and effective management of soil salinity are essential for sustainable agriculture and land management. Remote sensing (RS) and geographic information systems (GIS) have emerged as indispensable tools for mapping, monitoring, and analyzing soil salinity over vast areas. RS provides multi-temporal and multi-spectral data that helps identify …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Comparative Study of Facial Spoofing Detection using CNN Architecture
Abstract: Facial recognition systems face a high risk of security breach due to various facial spoofing attacks. This challenge was addressed by the study of several deep learning models. This study proposes an idea to detect facial spoofing using deep learning architecture to differentiate live faces form various types of spoofed images/videos using different CNN models. In addition, the study seeks to strengthen security measured in facial recognition system demonstrating that …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 9–17 Read article
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Automated Guided Robotic Armed Vehicle (AGRAV)
Abstract: An automated guided vehicle (AGV) with a robotic arm mounted on top is the subject of this paper's prototype. "How to improve material handling in industries while reducing repetitive work and human involvement in pick and place applications" was the issue statement that was kept in mind. The fundamental issue in industries and warehouses where people work to choose and move goods is that their workdays are constrained by human …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 9–18 Read article
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Improving Node Efficiency in Wireless Sensor Networks Using Advanced Clustering and Routing Techniques
Abstract: Many Internet of Things (IoT) applications, such as disaster relief, smart buildings, smart farming, and healthcare monitoring, have made use of wireless sensor networks (WSN). It is one of the alternatives to address different IoT difficulties in different contexts. One of the main problems with sensor networks is power efficiency. WSN operated on the Client-Server (CS) architecture in the past, however researchers suggested Mobile Agent (MA) based WSN to increase …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 35–64 Read article
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Elevating Seamless Housing Navigation with Precise Recommendations for Personalized Rental Experiences
Abstract: The demand for rental housing has increased significantly in recent years, making more effective and individualized methods of housing navigation necessary. Renters become frustrated and ineffective when using traditional ways of researching rental houses since they frequently involve manual searches and little customization. By using sophisticated recommendation systems to deliver exact recommendations catered to user preferences, this research article suggests a novel way to improve house navigation. The proposed approach …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 50–62 Read article
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Edge Computing in IoT: Challenges and Opportunities for Engineers
Abstract: The internet of things (IoT) has revolutionized how we interact with our environment, collect data, and make decisions. However, the exponential growth of IoT devices has led to significant challenges in data processing, latency, and bandwidth usage. Edge computing provides an effective solution to these issues by bringing computation and data storage nearer to the source of data generation. This paper provides a comprehensive exploration of the challenges and opportunities …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
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Evaluating Advancements and Identifying Research Gaps in Automotive Spare Parts Demand Forecasting
Abstract: The automotive industry, a key driver of global economic activity, relies heavily on the effective management of spare parts to ensure vehicle longevity and reliability. Accurate prediction of demand for these components is imperative to uphold ideal stock levels, minimize expenditures, and elevate customer contentment. This review of literature assesses recent progressions in demand prediction methodologies for automotive spare parts, with a specific emphasis on conventional statistical methods and contemporary …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 47–58 Read article
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Optimized Web-based Online Food Ordering System: Design and Implementation
Abstract: Online food ordering systems have undergone a profound metamorphosis with the advent of digital technologies, catalyzing a pivotal shift in the operational dynamics of the gastronomic sector. This paper elucidates the conceptualization, design, and implementation of an advanced, web-based food ordering system, meticulously engineered to elevate the efficiency and sophistication of food service operations. Employing the rigorously structured Systems Analysis and Design Methodology (SSADM), this system represents a transformative departure …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 1–25 Read article
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Hydrogen-based Steel Making - The future?
Abstract: The largest energy consumer i.e. 5% of global energy consumption and 7% of global CO2 emissions are produced by the iron and steel sector. The steel industry is a significant contributor to anthropogenic CO2 emissions, largely due to the use of carbon as a reducing agent in the production of virgin steel. The main cause of these emissions is the decrease in iron ore. While recycling scrap steel in electric …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 2, 2024 · pp. 38–65 Read article
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Performance Enhancement of Microstrip Patch Antenna Using Metasurface
Abstract: Performance enhancement of microstrip patch antenna using metasurface provides a thorough analysis of how a metasurface integration technique might improve the performance of a microstrip patch antenna. The 4×4 array of square components metasurface measuring 51.6 × 51.6 × 3.1016 mm is merged with the microstrip patch antenna, which has dimensions A=13.5 mm, B=12 mm, and C=1.2 mm. The radiation box dimensions (100 mm × 100 mm × 55 mm), …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 20–27 Read article
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Synthesis, Characterization and Antibacterial Evaluation of Novel Canola Oil-Based Poly-(Citrate/Succinate)-amide Incorporated with Zn (II) and Ni (II) Metal Ions
Abstract: This present research study is to fabricate efficient metal-incorporated Canola oil (CO) polymers synthesised using dicarboxylic acids – Citric acid (CA) and Succinic acid (SA). The research mainly highlights the fabrication of polymeric materials using CO via a safer chemical synthesis route with less toxic reactants and minimal solvent/diluent to accomplish sustainability, adopting the green chemistry principle. Divalent Zinc (Zn) and Nickel (Ni) were incorporated in the poly-(Citrate/Succinate)-amide matrix, Ni …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 45–69 Read article
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Clinical Profiles of Patients Presenting with Hypoglycemia in Emergency Department of Bir Hospital
Abstract: Hypoglycemia stands as a primary reason for visits to the Emergency Department (ED), ranking high among the most frequent and easily avoidable hormonal emergencies. The aim of this research is to investigate the occurrence of hypoglycemia and identify its underlying causes. As the number of diabetes cases rises, along with different methods of tightly managing blood sugar levels, the likelihood of hypoglycemia also increases. Given that extended periods of hypoglycemia …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 3, 2024 · pp. 19–39 Read article
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Experimental Study on the Wear Mechanisms of Cutting Tools in High-Performance Machining
Abstract: Because high-performance machining (HPM) may increase output and improve product quality, it is essential for modern production. The quick wear of cutting tools under high-stress circumstances, however, presents serious difficulties that affect surface smoothness, tool life, and cost-effectiveness. Through an analysis of the impacts of cutting speed, feed rate, tool material, and cooling techniques, this work explores the wear processes impacting cutting tools in HPM. Advanced spectroscopy and microscopy procedures …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
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Integrating Electromechanical Cooling with Thermoelectric System for Enhanced Cooling Efficiency
Abstract: To improve cooling efficiency, a wide range of cooling systems have been studied. This article investigates the combination of thermoelectric and electromechanical air conditioners to maximize cooling performance. Electromechanical cooling methods, such as vapor compression refrigeration, have traditionally dominated cooling applications due to their high efficiency and reliability. However, these systems face challenges related to environmental impact and scalability. Thermoelectric cooling, by contrast, offers advantages like compact size, silent operation, …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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Energy-efficient Image Classification on Edge Devices: Implementation and Evaluation
Abstract: Image classification is a computer vision problem where an algorithm determines a class or label for a given image. Various real-time applications like object recognition, medical diagnosis, person recognition, etc. Image classification property on edge devices is useful for autonomous vehicles, surveillance, and healthcare and internet of things deployments. The advancement of deep learning based methods and graphics processing units (GPU) devices allows efficient processing locally. The study utilizes a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 10–18 Read article
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An Evaluative Comparison of CD123 and CD66c as Biomarkers to Detect Minimal Residual Disease in B-Cell Acute Lymphoblastic Leukemia
Abstract: Background: B-cell Acute Lymphoblastic Leukemia (B-ALL) often shows lineage heterogeneity with lymphoid cells expressing myeloid markers. Minimal Residual Disease (MRD) refers to the small number of cancer cells that may remain in a patient's body after treatment and that are undetectable by standard diagnostic methods. In diseases like B-cell Acute Lymphoblastic Leukemia (B-ALL), MRD is a critical prognostic indicator, as its presence can signal a higher risk of relapse. In …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 3, 2024 · pp. 7–12 Read article
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A Split and Merge UNet: A Deep Learning Assisted UNet Model to Segment Corpus Callosum of Brain for Automatic Autism Detection
Abstract: In recent years, deep learning techniques have shown remarkable performance in various image analysis applications, particularly in the domain of medical image processing. Among these, image segmentation plays a critical role, as it helps in isolating and analyzing specific regions within medical images. The proposed study focuses on segmenting the corpus callosum, a vital structure in the human brain, using a novel optimization technique known as the Split and Merge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Advancements in Waste Heat Recovery from Multistage Air Compressor Operations
Abstract: In industrial production processes, waste heat is an important consequence, especially in sectors that rely significantly on composites and polymers. Frequently, this heat is released into the atmosphere without being captured, which raises operating expenses in addition to wasting potential energy. In these sectors, waste heat recovery, or WHR, has become a key tactic for raising sustainability and energy efficiency. The WHR potential of multistage air compressors—essential parts of industrial …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 29–38 Read article
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Advancements in Windmill Technology: Comprehensive Research on Conventional and Piezoelectric Windmills
Abstract: This research delves into the structural components and mechanisms of conventional wind turbines, emphasizing blade material considerations for optimal performance. It introduces a paradigm shift by exploring the use of epoxy resin and piezoelectric materials, specifically zinc oxide, in wind turbine blades. The study presents mathematical models and conducts a comparative analysis between conventional and piezoelectric turbines, evaluating efficiency, cost-effectiveness, environmental impact, and energy output differences. While awaiting experimental data, …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 3, 2024 · pp. 31–42 Read article
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Study on Extraction and Purification of Phytochemicals from Eichhornia Crassipes Leaves
Abstract: Eichhornia crassipes is an aquatic plant that belongs to Pontederiaceae family. It is commonly known as water hyacinth. This annoying plant has been a recurring issue that should have been managed. In comparison to other natural plants and fibers, the seeds of these plants may survive up to 28 years at the water’s surface and have developed extremely quick growth properties. The water hyacinth is regarded as the world’s most …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 24–28 Read article