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1969 articles for “R&D” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Differential Gene Expression Analysis of Human Atrial Fibroblasts Reveals Dysregulation of RNA Metabolism and Translational Machinery in Atrial Fibrillation
Abstract: Atrial fibrillation (AF) is a complex cardiac arrhythmia characterized by extensive structural remodeling and the activation of atrial fibroblasts, which drive the progression of fibrosis. To identify the underlying transcriptomic alterations, we analyzed six human atrial fibroblast RNA-Seq datasets (three control and three AF) retrieved from the Sequence Read Archive. After performing rigorous quality control and adapter trimming, we aligned the reads to the GRCh38 human reference genome using a …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 15–25 Read article
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Advanced Quantitative Analysis of Dynamic Recovery during Warm Working of FCC Alloys
Abstract: Metal working processes of warm working require an advanced quantitative analysis of dynamic and static recovery of dislocations to control microstructures and crucial shape forming properties. Feasibility of dynamic recovery by thermal glide and static recovery by climb of constricted jogs, applicable to ausforming, nano bulk forming by SPD and normalizing has been addressed to design new steels, used for hulls, and tribologically superior bearings. Predictive dislocation recovery analysis shows …
Published in Journal of Materials & Metallurgical Engineering Read article
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Contemporary Ethno-Religious Development Crises in Northern Nigeria with a Special Reference to Some States: Genesis, Implication, Impact and the Quest for Prospect
Abstract: A study has been conducted purely for the exploration of the remote and immediate factors that frequently lead to the outbreak of the studied subject matter in the region and period under review. In this study, a multitude number of published and unpublished sources have been put into use for appropriate historical reconstruction of some major obstacles associated with political, economic, social, tribal and religious aspects of the region and …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 1, 2025 · pp. 32–40 Read article
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To Rule Out the Efficacy of Haridradi Drugs in Respiratory Allergic Disorders in the Childrens.
Abstract: Allergic diseases in children have increased significantly in recent years and they are a major cause of morbidity in the children. Although there is a genetic predisposition, exposure to allergens i.e pollens, irritants, infections, diets and inhalant will determine the sensitization. At present, the best approach to the children who are at high risk for the development of allergies is to introduce environmental and dietary control and adopt early measures …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2024 · pp. 53–60 Read article
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Targeting Dystrophin Restoration and Neuroprotection in Duchenne Muscular Dystrophy: Insights from Withania somnifera
Abstract: Duchenne muscular dystrophy is a genetic disorder. This disease affects men more common than women. Main objective of the present study was to identify the naturally active phytocompounds from Withania somnifera (Ashwagandha). Ashwagandha has a great value in the field of Ayurveda and Indian medicine and is used for treating muscular and neurological disorders. Toxicity prediction, molecular docking, statistical information, drug illness prediction, and Absorption, distribution, metabolism, excretion, and toxicity …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 64–84 Read article
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Understanding Side-wind Dynamics and Deciphering Ringsail Parachute Drift
Abstract: The geometric complication caused by the "rings" and "sails" used to make the parachutist's canopy provides a considerable computationally problem, which is the focus of this paper's fluid–structure interaction (FSI) modeling of ringsail parachutes. Based on the sustained space-time FSI (SSTFSI) method, we have developed an FSI simulation of ringsail jumping devices. The FSI Geometric Smoothing Technique and the Homogenized Modeling of Geometric Porosity represent a pair of the above …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 1, 2024 · pp. 1–12 Read article
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Convolutional Neural Network Based Ripeness Detection of Fruits
Abstract: The accurate and efficient assessment of fruit ripeness plays a crucial role in ensuring the quality of fruits and optimizing supply chain management. This paper presents a novel approach for the automated detection of apple and banana ripeness using Convolutional Neural Networks (CNNs). The suggested method supports the capability of CNNs to learn hierarchical features from images, variations in color and shape associated with different ripeness stages. The online dataset …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 2, 2024 · pp. 30–36 Read article
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Rumen Microbial Adaptation to Dietary Shifts: Mechanisms, Challenges, and Implications for Sustainable Ruminant Production
Abstract: Rumen microbiota play a central role in the digestion and fermentation of dietary components, directly influencing the health and productivity of ruminants. Dietary shifts, such as transitioning from forage-based diets to concentrate-rich diets or incorporating feed additives, induce significant changes in the composition, structure, and functional dynamics of the rumen microbial community. These adaptations, while essential for maintaining microbial homeostasis, can also lead to transient imbalances, including risks of acidosis, …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 1, 2026 · pp. 17–26 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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Exploring the Effectiveness of IoT in Virtual Doctor Robot Systems
Abstract: The design and development of a Virtual Doctor Robot (VDR) using Internet of Things technology is presented in this study with the goal of facilitating remote medical assistance. In light of the constraints associated with physical presence, especially in underprivileged areas like isolated parts of India during the COVID-19 pandemic, videoconferencing (VDR) is a viable means of bridging the gap between patients and physicians. The VDR makes accurate diagnostic and …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 3, 2024 · pp. 13–23 Read article
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Evaluation Of Anti Obesity Activity Of Citrus Sinensis & Citrus Limon By High Fat Diet Induced Model Using Danio Rerio
Abstract: Obesity, defined by the World Health Organization (WHO) as an abnormal or excessive fat accumulation that may impair health, is becoming one of the greatest challenges to global health in this millennium, with more than 300 million men and nearly 450 million women obese globally in 2018. Obesity turns into serious problem globally. Zebrafish model can be used extensively for drug screening due to its low maintenance cost, comparatively short …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 1, 2024 · pp. 24–31 Read article
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Diabetes Risk & Al Nutrition Assistant
Abstract: The rising prevalence of diabetes mellitus has emerged as a major global health challenge. Early identification of individuals at risk, combined with personalized lifestyle-based interventions, can significantly reduce future complications. This study presents an AI-driven Nutrition Assistant integrated with a Diabetes Risk Prediction model. The system uses a machine learning classification approach to estimate the likelihood of diabetes based on clinical and nutritional factors, including body mass index, glucose levels, …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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A Concise Overview of Recent Developments and Uses in Nano-Silica and Nanoparticles Encased in Silica
Abstract: Nano-silica and silica-coated nanoparticles have gained significant attention lately due to their exceptional chemical and physical properties, including a high surface area-to-volume ratio, adjustable porosity, thermal and chemical stability, biocompatibility, and ease of surface modification. These characteristics make them versatile materials applicable in various scientific and industrial sectors. Their ability to control particle size, shape, and surface traits allows them to be effectively utilized in catalysis, drug delivery, biosensing, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 696–704 Read article
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Resolving International Sports Disputes: An Exploration of Mediation and Conciliation
Abstract: The globalization of sports has led to an increase in cross-border disputes, necessitating effective and efficient dispute resolution mechanisms. Traditional litigation and arbitration methods often prove time-consuming, costly, and ineffective in preserving relationships. This research explores the role of Alternative Dispute Resolution (ADR) methods, specifically mediation and conciliation, in resolving international sports disputes. Through a comparative analysis of international sports organizations and dispute resolution mechanisms, this study examines the benefits …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 14–27 Read article
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Zen-Inspired Interior Design in Residence
Abstract: ‘Zen’, a word derived from Buddhist philosophy indicates meditation, peacefulness, and harmony with natural elements. Zen-Inspired-Interior-design has commonly been used in Chinese and Japanese homes for several years but is now growing in popularity across several countries. Japanese interiors have several characteristics, the most important of them being minimalism i.e., using simple, lowlying furniture and a neutral colour palette with less ornament or heavy patterns and emphasis on functionality. It …
Published in International Journal of Urban Design and Development · Vol. 1, Issue 1, 2023 · pp. 01–16 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