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1993 articles for “D’Alembert’s principle” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Skin Disease prediction and classification from dermoscopy images using Neural Network
Abstract: Skin diseases are among the most common health-related problems affecting people of all age groups, and their occurrence often varies with seasonal and environmental conditions. Delayed or incorrect diagnosis of skin disorders can lead to severe complications, making early and accurate detection extremely important for effective treatment and prevention. In recent years, rapid advancements in deep learning and neural network technologies have significantly contributed to the development of automated medical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Damage Evolution and Delamination Resistance in Polymer Matrix Functionally Graded Laminates
Abstract: Functionally graded laminates (FGLs) in polymer-matrix systems represent a promising pathway to enhance damage tolerance and delay delamination in advanced structural composites. In this study, we explore the mechanisms of damage initiation, propagation, and delamination resistance in polymer matrix functionally graded laminates (PM-FGLs) through a combined experimental–computational approach. Laminates with linear, exponential, and bio-inspired gradation profiles were fabricated using vacuum-assisted resin transfer molding (VARTM) and additive manufacturing techniques. Comprehensive mechanical …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 321–337 Read article
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IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures
Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion. However, processes of internal damages such as the cracking of the matrix, delamination and fiber fracture, are likely to take place without being visible on the surface and therefore a periodic check of the structure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1076–1100 Read article
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Nutrient–Xenobiotic Crosstalk in Dairy Cattle: Implications for Metabolism, Immunity, Health, and Productivity in Resilient Dairy Development
Abstract: Dairy cattle are routinely exposed to a wide range of xenobiotics, including mycotoxins, heavy metals, pesticides, residues from veterinary drugs, and plant secondary metabolites, through feed, water, and environmental sources. These xenobiotics, being foreign to biological systems, can interfere with the absorption, metabolism, and utilization of essential nutrients, while also compromising immune function, organ health, and overall physiological performance. Chronic or subclinical exposure can reduce feed efficiency, disrupt energy and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 37–46 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 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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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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An in-Depth Analysis of Cyber Security: Vulnerabilities, Threat Landscapes, Attack Mechanisms, and Defense Solutions
Abstract: In a highly digitalized world today, cyber security has taken over as a necessary component to safeguarding the modern world technology. With the increase in the dependency on the digital platform and online services, the threat of cyber threats has also risen. Such threats are not confined to mere attacks anymore, as they have taken a new form of complexity and magnitude to impact individuals, businesses, government institutions among others. …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning
Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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A Qualitative Comparative Study of Storytelling Through the Thematic Apperception Test Among Two Young Adults with a History of Substance Abuse in a Selected De-Addiction Centre in Delhi, India
Abstract: Introduction: Substance use can deeply affect an individual’s personality, relationships, and psychological functioning. The thematic apperception test (TAT), a projective psychological tool, helps uncover unconscious thoughts and emotions through storytelling. Objective: (i) To explore and compare the underlying personality dynamics of two young adult males with a history of substance use through TAT card analysis. Method: A qualitative comparative case study design was used. Ten standard TAT cards were presented …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 1–4 Read article
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Reduction of Electric Vehicle Driving Range Due to Battery Capacity Fading
Abstract: This paper is mainly focused to the estimation of the reduction of the driving range in electric vehicles due to battery capacity fading as a consequence of the aging effects with cycling. A scale model reproducing the real driving conditions in electric vehicles has been used to develop a simulation process to evaluate the incidence of the cycling on the battery capacity fading. The model on which the simulation has …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 1–16 Read article
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Review on Design and Development of Hydrogen Production System using HHO Dry Cell Method
Abstract: The current work aims to review an experimental setup for the production of HHO gas. It involves the production of HHO gas by dry cell method, and selecting an appropriate electrolyte for production of HHO gas. The system involves sizing and selection of components like bubbler, measuring devices, moisture removal dryer and safety device like flash back arrestor. HHO gas thus produced can be used in a brazing, welding and …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 7, Issue 2, 2016 · pp. 56–59 Read article
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Synthesis and characterization of mesoporous silica supported Pt catalysts for Decalin dehydrogenation
Abstract: Hydrogen, potentially very attractive energy source as its combustion forms only water in addition to energy. Hydrogen is the cleanest source of fuel. Decalin consists of considerable high hydrogen contents of 7.3 wt% and 64.8 kg H2 /m3 is an excellent mobile storage source for hydrogen. In this work, SBA-15 and carbon modified SBA-15 supported 1wt% Pt catalysts were synthesized and characterized for vapour phase dehydrogenation of decalin. About 154 …
Published in Journal of Catalyst & Catalysis · Vol. 5, Issue 3, 2018 · pp. 12–21 Read article
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Continuous-Time Modelling of the Two-Input Fourth Order DC_DC Converter
Abstract: Two-input fourth-order integrated (TIFOI) converter is designed to process the power from two different sources Vg1 and Vg2. This converter facilitates regulation of dc-bus voltage and LVS current. In the power conversion process it performs bucking operation for first dc source Vg1, buck-boost operation for the second source Vg2. Power stage dynamics of the TIFOI converters is modeled using the state-space analysis. The system modelling plays an important role in …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 3, 2021 · pp. 1–11 Read article
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Design of Solar Trap using Banana Drying Method
Abstract: Food drying techniques these days are for the most part in high utilization of power and fuel which lead to high functional expense. This has brought about a lost cause and cash because of the utilization of present day instruments requires tremendous expenses for execution. In the interim, the conventional food drying process just purposes sun beams in their cycle, where the interaction is definitely more proficient than the cutting …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 1, 2022 · pp. 25–31 Read article
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Novel Approach for Automated Diagnosis of Diabetic Retinopathy
Abstract: Automated and early diagnosis of diabetic retinopathy is a crucial need. Diabetic retinopathy (DR) is the major cause of blindness among people. DR is a progressive disease classified according to the presence of various clinical abnormalities. It doesn’t have any visible symptoms till the disease is at late stage. Therefore, it necessary to detect DR at early stage and to ensure proper treatment. For early detection of DR, different automated …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 1, 2016 · pp. 9–13 Read article
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YOLOv8 in Focus: A Review of its Application in Driver Monitoring Systems
Abstract: This research presents a novel Driver Monitoring System (DMS) that utilises Convolutional Neural Networks (CNNs) to achieve remarkable results. Specifically, the YOLOv8 (You Only Look Once version 8) detection technique is used. The main goal is to increase road safety by using cutting-edge computer vision techniques to analyse driver behaviour in real-time. The YOLOv8 detection method, a cutting-edge CNN model renowned for its precision and effectiveness in object recognition, is …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 35–40 Read article
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Interference of Components in Metallic Diffusion
Abstract: Eight different pairs of metals which diffuse in each other in a solid state composition and make a homogenous or heterogeneous mixture are considered for deeper understanding of diffusion phenomenon, w.r.t. direction of diffusion, etc. Further the authors interpret which factors are responsible for the metal and/or more specifically which metal atom will be active in the diffusion process. The analysis evidenced number of breakage of bonds in the substrate …
Published in Journal of Materials & Metallurgical Engineering · Vol. 4, Issue 1, 2014 · pp. 23–30 Read article
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Thermal degradation analysis of banana fiber by Coats & Redfern methodThermal Degradation Analysis of Banana Fiber by Coats and Redfern Method
Abstract: Nowadays, natural fiber is more advantageous than synthetic fiber. Natural fibers are used as reinforcement material with combination of polymer matrix. These are of different types like banana fiber, bamboo fiber, sisal, hemp, and jute, etc. Banana fiber is one of them which is most common and easily available fiber in global scenario. It is biodegradable, renewable, and lower in cost. This fiber is higher in cellulosic content. Out of …
Published in Journal of Polymer & Composites · Vol. 11, Issue 2, 2023 · pp. 28–32 Read article