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1969 articles for “D/H analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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AI-Powered IoT System for Early Detection and Monitoring of Livestock Health
Abstract: Protection of food production exists through livestock farming operations that advance economic global power. Continuous challenges to agricultural industry practices result in harmed animal health and enable disease spread as well as environmental threats to their welfare. Implementing current innovative solutions right away is necessary to solve these problems. The AI and IoT-based smart livestock health monitoring system functions as the fundamental development approach across this industry. The present integrated …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Comparative Analysis of Dip and Spray Techniques with Ethanol, Polyvinyl Alcohol, and Acetone Hydrophobic Glass Slides with Al2O3 Coating
Abstract: The hydrophobic effects of Al₂O₃ coatings on glass slides are investigated in this work by comparing dip and spray procedures using three distinct solvents: acetone, polyvinyl alcohol (PVA), and ethanol. Using both dip and spray techniques, the experimental design systematically applies Al₂O₃ coatings on glass slides. Then, the effect of the chosen solvents on hydrophobicity is investigated. Delineating the complex interaction between coating processes and solvent options requires careful analysis …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 45–51 Read article
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Human-robot Collaboration in Manufacturing: Safety, Efficiency, and Technological Developments
Abstract: Human-robot collaboration (HRC) has emerged as a transformative force in modern manufacturing, significantly enhancing productivity, operational flexibility, and overall efficiency. This review article explores the fundamental aspects of HRC, with a particular focus on safety protocols, efficiency optimization, and technological advancements that are shaping the future of collaborative robotics. Ensuring safety in HRC environments is a primary concern, necessitating the implementation of advanced safety measures, risk assessment methodologies, and compliance …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 1, 2025 · pp. 18–23 Read article
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Stability-Indicating Rp-Hplc Development and Validation for the Estimation of Lercanidipine Hydrochloride Content in Tablet Dosage Form
Abstract: A sensitive, stability-revealing, and easy reverse-phase high-performance liquid chromatographic (RP-HPLC) technique was developed and rationalized to be in a position to determine Lercanidipine hydrochloride in ingested dosing preparations. It was separated by chromatography on a C 18 column using a mobile phase containing 10 mM potassium dihydrogen phosphate buffer and methanol (20:80, v/v; pH 4.0) at a flow rate of 1.0 mL/min and UV detected at 258 nm. The retention …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 17–26 Read article
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An Analytical Study of Mental Health to College Students
Abstract: The research aimed to explore variations in the mental well-being of university students, utilizing a 2X3X3 factorial design. Data gathering relied on the utilization of the "Mental Health Inventory" developed by Dr. D.G. Bhatt and G.R. Gida in 2006, with a sample selection conducted through the stratified random method. A total of 540 samples of college’s students were taken college from Bhavnagar city among them 270 from college girls and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 7–10 Read article
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Evaluate and Compare the Effect of Water of Different Hardness Levels on the Surface Irregularity in 3 Different Heat-Polymerized Denture Base Resins
Abstract: This study aimed to evaluate and compare the effect of water with varying hardness levels on the surface irregularity of three different heat-polymerized denture base resins. The hardness of water used in dental applications has been shown to influence the properties of dental materials, including denture base resins. In this study, three commonly used heat-polymerized denture base resins were subjected to immersion in water with different hardness levels. The surface …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 130–136 Read article
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A Python-Based Investigation of Clinical Data and Ultrasound Images for PCOS Diagnosis
Abstract: PCOS is a common endocrine disorder that impacts women in their reproductive years characterized by irregular menstrual cycles, hyperandrogenism, and polycystic ovaries. The full diagnostic plan is mainly a combination of a pelvic ultrasound besides blood tests of specific parameters that indicate the presence of PCOS. Since PCOS is a hard-to-diagnose widespread hormonal disorder, blood tests, symptoms, and other parameters with the help of a computer can form a new …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Price Comparison with Sentimental Analysis
Abstract: The price comparison website is designed to compare the prices of the products from various websites, which will help users to choose products that save money and time through online. Considering the customer's busy life especially those who are living in the city area, most of them prefer online shopping to save their time. Customers always prefer to buy products for low prices and compare prices from different e-commerce websites, …
Published in International Journal of Electronics Automation · Vol. 2, Issue 1, 2024 · pp. 20–27 Read article
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Analysis of Elevated Liquid Storage Tank on Sloping Ground with Variable Heights
Abstract: Past earthquake events have shown that even well-designed elevated water tanks can suffer severe damage or collapse. Much of this damage occurs due to a limited understanding of the behavior and appropriate selection of supporting systems during the design process. With a large mass concentrated at the top of slender supports, these tanks are especially vulnerable to horizontal seismic forces. Therefore, it is crucial to evaluate the strength and performance …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 3, 2025 · pp. 16–31 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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IoT-Based Power Monitoring System
Abstract: Today, in many smart systems, IOT plays an important role. It is mostly used in power monitoring, Household applications, and also in industrial applications. In that, power is the most important thing that is to be monitored, controlled and properly utilized. In this paper, a system is designed for monitor and control the street lights of particular area. With the help of LDR, power consumption is possible. Customers and system …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 16–24 Read article
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An Optimization Technique to Resolve Real time Monitoring using IoT for Smart Energy Meter
Abstract: This paper presents an IoT-based smart energy meter designed for accurate, real-time monitoring of household and industrial electrical consumption. Customers and system operators can view real-time patterns of energy consumption with an easy-to-use web-based dashboard. Users can obtain important insights into their electricity consumption through graphical representations and historical data analysis, allowing for more efficient load management, energy conservation, and cost optimization. Users can obtain energy data from any location …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 33–40 Read article
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Behavior of Surface Polaritons on Cylindrical Semiconducting Materials at Nanoscale with Radius Dependence Frequency
Abstract: Surface plasmon resonance (SPR) is a physical property of the surface to investigate the important properties of optical behaviors for nanomaterial and biomaterial. It involves the excitation of electrons within a thin metal sheet by incident light at a specific angle, prompting them to propagate parallel to the surface. This sensitivity to external factors, such as changes in the refractive index of the surrounding medium due to molecular adsorption, underscores …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 2, 2024 · pp. 1–7 Read article
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Timestamp Extraction and Log Classification Using Supervised Machine Learning: A Comparative Study
Abstract: In modern software systems, logs are vital for monitoring application behavior, diagnosing issues, and analyzing performance. Timestamps are especially important for sequencing events, identifying anomalies, and understanding system failures. However, detecting timestamps in logs is challenging due to inconsistent formatting across systems and the presence of timestamp-like strings in non-timestamp fields. Traditional rule-based methods often fail in such cases. This study proposes a supervised machine learning approach to accurately classify …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 26–38 Read article
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Catalyst-Driven Degradation and Failure Analysis of Intergranular Cracking in 316H Studded Pipes under Refinery Heat Recovery Conditions
Abstract: A failure analysis investigation was carried out on a high-temperature studded pipe used in a convection module for heat recovery in an oil and gas refinery application after leakage was detected during pre-commissioning hydrotesting. The investigated pipe was manufactured from AISI 316H austenitic stainless steel, and carbon steel studs had been joined to its outer surface by high-frequency resistance welding. Two leaks were reported in the pipe under investigation, and …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 Read article
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Study of High-rise Building with Varying Imposed Loads Condition for Lateral Load Excitation
Abstract: The demand for land has risen, causing scarcity and leading to a significant increase in the construction of tall residential and commercial buildings. With limited land and a growing population, expanding horizontally is not feasible, making multistory buildings the solution. Urbanization has led to the construction of numerous high-rise structures, emphasizing the need for a thorough understanding and analysis of these structures. The present study aims to determine the critical …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 92–106 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Experimental Investigation on Mechanical Characterization of Electrodeposited Shot Peened Copper Coated and Un-Coated Mild Steel
Abstract: The fatigue strength of fabricated copper coating on mild steel specimens under repeated loading and the overall number of cycles to failure has been investigated. The specimens of copper coating on mild steel substrate are fabricated by using an electro deposition shot peening method. The hardness behaviour of fabricated specimens studied and the experimental work has been carried out by using Vickers Micro Hardness under the load of 20N force. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 279–288 Read article
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AI-Driven Exam Grading, Percentile Calculation, and Plagiarism Detection System for Educational Integrity
Abstract: The influence of artificial intelligence (AI) on academic evaluation has become increasingly significant, particularly in areas such as automated grading, large-scale content analysis, and plagiarism detection. These technologies provide educators with rapid processing, consistent scoring, and timely feedback that can support both teaching and learning. However, alongside these advantages, serious concerns have emerged regarding the reliability and fairness of AI-driven assessments. The growing presence of AI-generated content has further complicated …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 07–12 Read article