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1980 articles for “P-dA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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FutureGen – Predicting Genetic Health
Abstract: FutureGen is an intelligent web-based system developed to help couples assess the risk of genetic disorders in their future child through data-driven analysis. The system brings together modern web technologies and machine learning to offer accurate and accessible predictions. The frontend, built with React, provides an intuitive interface for user interaction, while a Flask-based backend API handles model inference and manages communication with the Supabase database, which securely stores user …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 4, Issue 1, 2026 Read article
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Research Output in Medical Science Using Various Databases: A Review
Abstract: Research encompasses innovative and creative work undertaken on a systematic and scientific basis in order to increase the stock of knowledge, including knowledge of humans, culture and society, and the use of this stock of knowledge to invent new applications. Research output is regarded as a measure to the progress and development of a nation. In the present milieu, a nation prosperity, power and economy is determined by its research …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 4, Issue 2, 2015 · pp. 8–12 Read article
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IOT- Based Smart Transportation Management System
Abstract: Rapid urbanisation has created a situation in which traffic congestion has become one of the major problems affecting many aspects such as, mobility, safety and environmental quality. The solution for traffic management problems is a smart transportation management system (STMS) based on the Internet of Things (IoT) concept. This framework will improve the efficiency of traffic management with real time monitoring and control of traffic. The proposed system will consist …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Phytoremediation of Aquaculture Wastewater: Duckweed (Lemna minor L.) as a Phytoremediator
Abstract: Aquaculture systems discharge huge quantities of waste into the aquatic ecosystem, in the form of excretory products and excess feed. These have grave implications on physicochemical and biological quality of the receiving environment. The study aimed to determine potential of duckweed (Lemna minor L.) for phytoremediation of aquaculture effluent. Hundred grams (100 g) of duckweed was grown in 10 L aquaculture effluent for 7-, 14-, 21-, and 28-day retention period …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 13–19 Read article
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Depression Detection Using Machine Learning: A Comprehensive Review
Abstract: Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods. With the growing availability of digital behavioral data and significant progress in machine learning (ML), new possibilities have emerged for the automated detection of depression. This review offers a detailed examination of recent advancements in ML-driven approaches to identifying depressive symptoms. It covers a range of …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
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NutriHeart with Chatbot
Abstract: Heart disease stands as one of the world's principal reasons for human deaths since it causes major preventable fatalities each year. Healthcare institutions currently explore machine learning (ML) integration for establishing new approaches toward predicting, and acting ahead of healthcare developments. NutriHeart presents an AI-based platform that accomplishes cardiovascular risk detection early and extends heart wellness by delivering customized nutritional and lifestyle recommendations. Using Support Vector Machines (SVM) along with …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 22–34 Read article
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Underwater Wireless Communication Using Visible Light
Abstract: The proposed method leads to a data communication architecture that transmits audio through water using visible light. This model uses a PIC microcontroller as hardware. The transmitter is a laser, while the receiver is a photodiode receiver. Today, high-speed wireless communications are required for many commercial, research and subsea applications. Current underwater communication methods, such as acoustic communication, suffer from significant delay and poor data quality, while underwater radio communication …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 3, 2023 · pp. 19–26 Read article
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A Clinical Study to Evaluate the Efficacy of Durvadi Taila in the Management of Muladhar Chedan/Yonikshat w.s.r. to Episiotomy Wound
Abstract: Background: Episiotomy is a surgically planned incision on the perineum and the posterior vaginal wall during the second stage of labor. It is more prone to an infection that is why it requires wound care and maintenance. Episiotomy can be compared to Chhina Vrana (a kind of Sadhyo Vrana). Durvadi tail a have been mentioned in Yogratnakar as vrana ropak in the treatment of Sadhyo vrana. Aim: Clinical evaluation of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 6, Issue 3, 2017 · pp. 8–14 Read article
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Solar Spin: BLDC Motor Integration for Sun powered Cycling
Abstract: This project focuses on the integration of a Brushless DC (BLDC) motor into an E-Solar Cycle to enhance its power generation efficiency. The aim is to design and implement a sustainable transportation solution that harnesses solar energy to supplement the electric power generated by the BLDC motor, thereby extending the cycle's range and reducing its dependence on external charging sources. A BLDC motor is used as the propulsion in the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 30–36 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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Data-driven Approaches to Mineral Resource Management Using AI: A Brief Review
Abstract: The role of Artificial Intelligence (AI) in the mineral resource sector has become increasingly significant over the past few years, as industries seek to optimize and modernize their operations. AI encompasses a variety of technologies and techniques, such as machine learning, deep learning, and expert systems, that are now widely used in mineral exploration, resource estimation, and mine management. These AI-driven approaches have brought about a transformative shift, enhancing efficiency, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 25–29 Read article
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Artificial Intelligence in Microbiological Research: Methods, Applications and Implications
Abstract: Artificial Intelligence (AI) is revolutionising microbiological research by enabling the rapid analysis of complex biological data and improving the accuracy, efficiency, and reliability of scientific investigations. Recent advances in machine learning, deep learning, and bioinformatics have transformed AI into a powerful tool for studying microorganisms, their genetic composition, evolutionary patterns, and interactions with hosts and the environment. AI-driven computational models can process large and complex datasets far more efficiently than …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 · pp. 22–36 Read article
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Host Plant Affinity and Trophic Behavior of Lohita grandis name of author (Hemiptera: Largidae)
Abstract: Lohita grandis (Gray) , commonly known as the red cotton bug, is an emerging pest of cotton and several other economically important crops in India. Its sap-sucking feeding habit causes discoloration of fruits, reduction in seed quality, and yield losses, posing serious challenges to sustainable agriculture. The present study investigates the feeding behaviour and host plant preferences of L. grandis across diverse agroclimatic zones of India, with the aim of …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 1, 2026 · pp. 92–100 Read article
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The Effects of Steroids on One’s Health
Abstract: The widespread use of steroids for both medicinal and non-medical purposes is a significant issue in contemporary culture. This article examines the considerable impact of steroids on human health, focusing on the therapeutic benefits and the adverse side effects associated with their consumption. In the treatment of conditions, such as inflammation, autoimmune disorders, and hormone imbalances, steroids, are frequently prescribed, providing significant relief from symptoms. However, the abuse of these …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 1, 2026 · pp. 47–63 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Evaluation of Coping Strategies Adapted to Overcome Psychosocial Problems in Adults Residing at Residential Home: A Descriptive Study
Abstract: Coping strategies refer to intentional actions taken to address and resolve personal or interpersonal challenges, aiming to manage, reduce, or tolerate stress or conflicts. Emotional-focused techniques specifically target the reduction of negative emotional responses caused by stressors. Some examples of coping strategies focused on emotions involve participating in activities to keep oneself busy and divert attention from stressors, seeking support, encouragement, empathy, and understanding from others. Objectives: (1) to assess …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 1, 2023 Read article
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Enhanced Sustainable Concrete Mix Design Using LLMs and Advanced Machine Learning Techniques
Abstract: Large Language Models (LLMs) are emerging as transformative tools in materials science, offering human-like reasoning, zero-shot problem solving, and the ability to integrate fuzzy laboratory knowledge with structured data. This study extends and reinterprets the original systematic benchmark for using LLMs in sustainable concrete design, particularly for Alkali-Activated Concrete (AAC). We introduce an enhanced, multi-model framework combining LLM-based inverse design, Random Forest regression, Gaussian Process Regression (GPR), and a lightweight …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 26–33 Read article
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Design and RTL Implementation for AHB-APB Bridge on SoC
Abstract: The focus of this research is to design and implement an interconnection protocol with 32-bit read/write data which operates on AMBA AHB-APB bridge. With the advent of scaling technology, embedded system focuses more on low-power dissipation and SoCs. Hence processors and routing protocols which focus on low-power design by ARM have gained popularity. In high-speed communication modules, the protocol works efficiently but has limitations with device operating at low speed. …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 2, 2016 · pp. 44–52 Read article
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Digital Transformation of Urban Infrastructure with the Help of AI Guardians
Abstract: The construction industry continues to face challenges related to quality control, safety protocols, and meeting project deadlines. These issues often result in significant cost overruns and project delays. Traditional inspection and site management approaches rely heavily on manual work and individual judgment. As a result, human errors can easily occur, and these methods provide only limited snapshots of site conditions over time. This paper presents a comprehensive framework that uses …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 16–25 Read article
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Blockchain Technology: Challenges and Opportunities
Abstract: Blockchain is a revolutionary digital, distributed network technology which has the power to replace third party trusted with mathematical concept and algorithms. It is considered as a change in every aspect in the life of humans. It is basically the peer-to-peer connection within a decentralized database. Blockchain provides us with the features of security, privacy, accessibility as well as immutability. Blockchains are mostly used for registering transactions, authenticating and validating …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 1, 2025 · pp. 21–30 Read article