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819 articles for “practice improvement”
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LQR-Based Optimal Control of Inverted Pendulum System with State Estimation and Stability Analysis
Abstract: The inverted pendulum on a cart is a canonical benchmark problem in control systems engineering, capturing the essential challenges of stabilizing an inherently unstable, underactuated, and nonlinear plant. Classical Proportional-Integral-Derivative (PID) controllers, while widely employed in industrial practice, exhibit fundamental performance limitations when applied to such systems, primarily due to their inability to account for multivariable coupling, process noise, and the absence of a systematic optimization framework. This paper presents …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 1, 2026 · pp. 31–43 Read article
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Effects of Boko Haram Insurgency on Basic Education in the Southern Part of Borno State of Nigeria
Abstract: A place's level of educational development is determined by its society. The standard of education given determines a society's degree of political, economic, technological, religious, and cultural growth. The purpose of the study is to examine how the Boko Haram insurgency affects universal basic education (U.B.E.) in the southern region of Borno state, which is affected by the insurgency in many ways. The researchers want to consider the mayhem of …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 34–47 Read article
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The Contribution of A. I. in Pharmaceutical Software
Abstract: The integration of Artificial Intelligence (AI) in pharmaceutical software has significantly transformed drug development, regulatory processes, and clinical management. AI-powered tools are revolutionizing data analysis, predictive modeling, and decision-making, enhancing the efficiency and accuracy of drug discovery and development. This article explores the multifaceted contributions of AI to pharmaceutical software, including its applications in drug screening, personalized medicine, clinical trial optimization, and regulatory compliance. Additionally, we examine how AI is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 1–10 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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Study of Social Trends Prediction Using AI
Abstract: AI (Artificial Intelligence) has fundamentally changed the ability to analyze social trends by using large datasets to develop predictions about human behavior, public sentiment, and global events. Using methodologies such as Natural Language Processing (NLP), Time-Series Forecasting, and Graph-Based Social Network Analysis, AI is able to find hidden correlations in a variety of available datasets, from social media to economic indicators to public records, and fundamentally changes decision-making based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 19–29 Read article
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Advancements In Technologies and Their Impacts On Mental Health Care With Special Reference to Ethical Considerations
Abstract: Mental health technology has seen remarkable progress in recent years, leveraging digital tools to improve diagnosis, treatment, and patient engagement. This review article examines the evolving role of technological innovations in mental health care, drawing insights from a range of scholarly reviews and research articles that explore the intersection of mental health and technology. Key advancements highlighted in this paper include artificial intelligence (AI), telemedicine, mobile health applications, serious games, …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Extraction, Stability, and Application of Natural Dye from Spathodea campanulata Flower: A Study on Shelf Life, Yield, and Fabric Dyeing Potential
Abstract: The growing demand for sustainable and eco-friendly alternatives to synthetic dyes has led to increased interest in natural dye sources. Spathodea campanulata, commonly known as the African Tulip Tree, is a potential source of natural dye due to its vibrant floral pigments. This study focuses on the extraction, yield, stability, and application of the dye obtained from Spathodea campanulata flowers. The dye was extracted using an aqueous method, and its …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 3, 2025 · pp. 8–15 Read article
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India’s Pioneering Advancements in Vaccinology: Challenges and Milestones – Part 2
Abstract: India has become a global leader in vaccinology, playing a vital role in developing, producing, and distributing vaccines that protect millions of lives. By embracing advances in molecular immunology, recombinant antigen technology, and virus-like particle (VLP) platforms, the country has created affordable vaccines against major diseases, including poliovirus, rotavirus, and SARS-CoV-2. National initiatives, like Mission Indradhanush and Vaccine Maitri, have helped expand immunization coverage, improve public health, and share vaccines …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 2, 2026 Read article
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Green Synthesis and Functional Evaluation of Ag–Polypyrrole/TeO2 Nanocomposites for Advanced Electronic Applications
Abstract: Ag–PPy/TeO₂ nanocomposites with TeO₂ loadings ranging from 2% to 10% were synthesized using an in-situ chemical polymerization method. Green tea extract, rich in phytochemicals, acted as both a reducing and stabilizing agent to facilitate the formation of metal oxide nanoparticles. The structural and morphological characteristics of the nanocomposites were analyzed using FTIR, PXRD, and SEM techniques. FTIR confirmed the successful integration of Ag, TeO₂, and PPy functional groups. PXRD patterns …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 64–76 Read article
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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
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Design of an ArUco Marker-Guided Smart Trolley with Integrated Billing Estimation
Abstract: The growing adoption of automation in retail environments has increased the need for intelligent systems that improve user convenience and reduce manual effort. This paper presents the design and development of a human-following smart shopping trolley with an integrated automatic billing system based on computer vision. The proposed system employs ArUco marker–based human tracking to achieve reliable and real-time following behaviour. A Raspberry Pi serves as the central processing unit, …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 Read article
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Brain Tumor Detection Using RestNet50 Architecture
Abstract: This paper presents a novel deep learning model for brain tumor diagnosis from MRI scans on the basis of ResNet50 with some modifications. Optimizing the modified layers and pre-trained ResNet50 for improved diagnostic accuracy and reliability in real-world clinical settings is one of the key contributions of this paper. The model was trained on an extremely well-balanced data of 2,577 MRI scans, which were split equally among the tumor and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 1–13 Read article
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From Concept to Clinical Practice: A Detailed Review of Total Artificial Heart Devices
Abstract: Total artificial heart (TAH) devices are mechanical systems designed to take over the role of a failing heart in patients with severe heart failure. Unlike ventricular assistance devices (VADs), which only support one side of the heart, TAHs replace both ventricles, providing a possible solution for patients who cannot receive a heart transplant. Over time, TAH technology has evolved with a focus on improving biocompatibility, reducing complications related to the …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 1–4 Read article
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Dynamics of Prime Gap Sets: An Algorithmic and Set-Theoretic Approach
Abstract: In this paper, we present a theorem and an efficient algorithm for computing all prime numbers up to a given integer X. Our theorem establishes a relationship between the primes up to X and those up to (X+1)2, providing a theoretical foundation for the algorithm. The proposed method improves upon the traditional Sieve of Eratosthenes by dynamically eliminating multiples of primes using only the remaining numbers in the set, thereby …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 20–25 Read article
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Comparative Analysis of Data Augmentation Techniques in CNN-based Classification of Atelectasis
Abstract: This research delves into the critical issue of atelectasis, its causes, and potential complications if left untreated. Leveraging deep learning algorithms, particularly convolutional neural networks (CNN), the paper explores their application in medical image analysis, focusing on the detection of atelectasis using the “chestX-ray8” database. The study compares various data augmentation techniques for improved accuracy, showcasing the importance of augmentation in enhancing model generalization. Through meticulous experimentation and evaluation, the …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Harnessing Hydrolgeological Parametrs: Prediction of Water Probability and Levels for Water Well Construction Using Ai-Enabled Models
Abstract: The AI-Based Decision Support System for Water Well Construction utilizes data from the National Aquifer Mapping and Management System (NAQUIM) and employs advanced AI techniques like regression analysis, decision trees, and neural networks. This system predicts crucial parameters for water well construction, including location suitability, water-bearing zone depths, and groundwater quality. By integrating large datasets such as lithology, geophysical logs, and aquifer maps provided by the Central Ground Water Board …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 16–28 Read article
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Parallel Privacy-Preserving Adaptive Federated Learning on GPU-Enabled Multi-Core Architectures
Abstract: The increasing deployment of parallel and distributed intelligent systems has intensified the need for privacy-preserving learning frameworks that can exploit multi-core and GPU-based architectures without centralizing sensitive data. This work proposes a parallel Adaptive Federated Learning (AFL) framework that integrates Differential Privacy and Secure Aggregation over heterogeneous multi-core and GPU platforms to enhance both data confidentiality and convergence efficiency. The framework dynamically adjusts client participation, learning rates, and aggregation weights …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 Read article
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A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
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Nanotechnology in Medical Applications: A Study
Abstract: In the field of medicine, nanotechnology has a wide range of applications that are both transformational and expansive. These apps provide solutions which have an opportunity to significantly enhance the outcomes of treatment and to provide better care for patients. The potential benefits are enormous, ranging from the delivery of drugs in a targeted manner to the development of sophisticated diagnostics and regenerative medicine. The incorporation of nanotechnology into clinical …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 2, 2024 · pp. 1–11 Read article
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Ag₂S–Ag Nanocomposites: A Bottom-Up Approach to Enhance Thermoelectric Power Factor at Near Room Temperature
Abstract: The intrinsic ductility, low toxicity, and naturally occurring abundance of silver sulphide (Ag₂S) have made it a potential thermoelectric material in recent years. However, high electrical resistance severely limits its practical application. Here, we present a thorough analysis of how metallic Ag nanoinclusions affect the structural, electrical, and thermoelectric characteristics of Ag₂S nanocomposites made using a simple bottom-up polyol approach. (Ag₂S)₁₋ₓAgₓ nanocomposites with an Ag content ranging from 0 to …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 40–55 Read article