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1223 articles for “insights”
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Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G
Abstract: With rapid technological advancement, sophisticated techniques are significantly enhancing the performance of wireless networks. In parallel, the growth of artificial intelligence (AI) has empowered systems to perform intelligent decision-making, automate processes, analyze data, generate insights, and predict future outcomes. AI systems are now capable of learning and adapting to dynamic environments. Particularly, machine learning and deep learning techniques have achieved remarkable success across a wide range of applications in recent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 29–36 Read article
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Emerging Technologies Reshaping Industries
Abstract: Emerging technologies such as Artificial Intelligence (AI), machine learning and 5 G technology are reshaping industries rapidly. This paper contains knowledge about some of the key emerging technologies and their real-world applications in various sectors like health care, education, agriculture, transportation, finance. This includes some of the challenges and considerations arising due to the widespread use of these emerging technologies. Also exploring about the future directions due to adopting these …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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IoT-Based Adaptive Irrigation Solution for Smart Farming
Abstract: Facing escalating global challenges such as water scarcity and unpredictable weather conditions, precision farming emerges as a crucial solution for enhancing agricultural productivity and sustainability. This paper introduces a smart irrigation system which employs IoT-based technology, integrating sensors and a designed to enhance water efficiency and boost agricultural productivity. The system leverages live data related to soil moisture and temperature, cloud cover, and precipitation, coupled with a cloud-based infrastructure using …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 17–24 Read article
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Development and Characterization of Pseudo-Elastic Ternary Cu-Al-Be Shape Memory Alloy and Its Scope as Shape Memory Hybrid Composites
Abstract: This research investigated the potential of the Cu-11.95Al-0.51Be shape memory alloy (SMA) for vibration damping applications. This specific composition of the alloy was selected to ensure the presence of the austenite phase (ß-phase) and to evaluate the pseudo-elastic (SE) behavior. This research explores the design, fabrication, and characterization of a pseudo-elastic ternary alloy. The key parameters examined in this study were the alloy phase and pseudo-elastic behavior. Other important factors, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 370–385 Read article
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Mathematical Approaches to Nonlinear Oscillatory Systems with Damping: Exact and Approximate Solutions
Abstract: The study of nonlinear oscillatory systems with damping is a key area of research in applied mathematics, particularly in the context of dynamical systems, stability analysis, and bifurcation theory. These systems, described by second-order nonlinear differential equations, exhibit a rich variety of behaviors, including periodic, quasi-periodic, and chaotic motions. The introduction of damping—representing energy dissipation—adds a layer of complexity, making the analytical and numerical solution of such systems a challenging …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 7–11 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Influence of Carbonyl Iron Particle Loading on the Dimensional and Rheological Properties of 4D-Printed TPU-Based Magnetorheological Elastomers
Abstract: The advancement of 4D printing technologies has created new opportunities for fabricating smart materials with tunable properties, including magnetorheological elastomers (MREs). This study investigates the fabrication and characterization of thermoplastic polyurethane (TPU)-based MREs with varying carbonyl iron particle (CIP) loadings (10–50 wt.%) using the fused filament fabrication (FFF) method. MRE filaments were produced through a solvent-assisted mixing and extrusion process, ensuring consistent diameters within 1.75 ± 0.10 mm. Test specimens …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 127–138 Read article
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A Comprehensive Study of Quantum Cryptography
Abstract: Quantum cryptography has emerged as one of the most promising fields in modern information security, offering innovative solutions that have the potential to transform the future of global cyber-defense. Unlike classical cryptographic systems, which depend primarily on the computational difficulty of solving complex mathematical problems, quantum cryptography is grounded in the fundamental and unbreakable laws of quantum mechanics. Core principles such as superposition, entanglement, and the uncertainty principle form the …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 12–26 Read article
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A MERN-Based Crime Management System: Enhancing Crime Reporting and Law Enforcement Collaboration
Abstract: In the modern digital age, efficient crime management is essential for safeguarding the public and upholding law and order. This project introduces the development of a Crime Management System (CMS) built with the MERN stack (MongoDB, Express.js, React, Node.js) to streamline crime reporting, monitoring, and coordination among law enforcement agencies. The CMS is designed to streamline the processes of crime reporting, record management, and data analysis, addressing inefficiencies in traditional …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 40–52 Read article
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Samelisant, an H3 Receptor Agonist as an Anti-Alzheimer Potential – A Pilot Study on Molecular Docking
Abstract: Neurodegenerative diseases have become more prevalent and about 55 million of the population are affected by dementia globally. One of the most important neurodegenerative diseases is Alzheimer’s disease which is known for its effect on memory and cognitive impairment. Alzheimer’s disease (AD) is an area of intense scientific investigation due to its high prevalence and the lack of a definitive cure. Amyloid precursor protein plays a central role in Alzheimer’s …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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Pneumonia Identification Using Explainable Artificial Intelligence
Abstract: Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited. Early and accurate diagnosis is critical for effective treatment and better patient outcomes, but traditional methods are time-consuming and require specialized expertise. This study explores the use of advanced deep learning models VGG16, VGG19, and ResNet50 to detect pneumonia and TB from chest X-ray images. By leveraging transfer …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 01–11 Read article
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Advancements in Agricultural Forecasting: A Review of Machine Learning Based Crop Yield Prediction
Abstract: Agricultural productivity plays a critical role in global food security, and accurate crop yield prediction is essential for optimizing resource allocation and decision-making in farming. The rapid advancements in Machine Learning (ML) and Deep Learning(DL)have transformed agricultural forecasting, enabling data-driven approaches for crop prediction. This review paper provides a comprehensive analysis of various ML and DL techniques applied in crop yield forecast, highlighting the ineffectiveness, challenges, and future directions. The …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 32–38 Read article
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A Thorough Examination of How Artificial Intelligence is Affecting the Transformation of Agriculture in India and Throughout the World
Abstract: By providing creative ways to increase crop yields, maximize resource usage, and advance sustainability, artificial intelligence (AI) is revolutionizing agriculture. AI technologies, such as machine learning, computer vision, and robotics, are being increasingly used in precision farming, crop monitoring, disease detection, and decision-making as the global agricultural sector faces pressing challenges like food security, population growth, and climate change. AI enables farmers to make data-driven decisions, optimize irrigation systems, monitor …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 39–45 Read article
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Exploring the Therapeutic Potential of Phytochemicals in Aloe Barbadensis Miller Through Molecular Docking for Ulcerative Colitis Management
Abstract: Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by mucosal inflammation of the colon, often associated with immune dysregulation and oxidative stress. Natural compounds have gained significant attention as alternative therapeutic agents due to their efficacy and minimal side effects. Quercetin, a flavonoid abundantly found in Allium cepa (onion), has demonstrated potent anti-inflammatory and antioxidant properties. This study employs an in silico approach to evaluate the therapeutic potential …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 1, 2026 · pp. 06–12 Read article
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Phytoconstituents of Ticanto crista (L.) R. Clark & Gagnon (Caesalpiniaceae): A Review
Abstract: Ticanto crista (L.) R. Clark & Gagnon (= Caesalpinia crista L.), a member of the Leguminosae family, is a medicinally important plant traditionally used in various systems of medicine, including Ayurveda, for treating a wide range of ailments. It has attracted increasing scientific interest due to its rich phytochemical profile and therapeutic potential. This review serves as a comprehensive index of the chemical structures of common and medicinal compounds isolated …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 3, 2025 · pp. 38–59 Read article
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IOT Based Smart System for Parameter Control Interfaced with Android and Cloud
Abstract: The smart embedded system enables real-time monitoring and control of multiple parameters motor speed, LCD brightness, temperature, and humidity through both manual input and remote Android application. The system consists Raspberry Pi 4 Model B as the central processor, integrated with a DHT11 sensor, L298N motor driver, LCD display, and potentiometers. Cloud connectivity is achieved using Firebase to synchronize data between the hardware and a custom-built mobile application. Real-time feedback …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 11–22 Read article
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CB₁ Reverse Agonists: A Cheminformatic and Patent Landscape Study
Abstract: The endocannabinoid system plays a crucial role in numerous physiological functions, making cannabinoid receptor 1 (CB1) an attractive target for therapeutic development. This review provides a systematic analysis of patent filings from 2019 to 2023 that focus on small-molecule CB1 reverse agonists. It begins with an overview of the endocannabinoid system, highlighting CB1’s involvement in energy balance, pain regulation, and neuroinflammatory processes The main section of the review examines fifteen …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 33–36 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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Investigation of Mechanical and Thermal Behavior of Glass Fiber–Enhanced PEEK Parts Produced via Fused Filament Fabrication
Abstract: This study investigates the thermal and mechanical properties of Polyetheretherketone (PEEK) polymer and Glass Fiber (GF) reinforced PEEK polymer fabricated using the Fused Filament Fabrication (FFF) process. Specimens were printed in three building orientations—X, Y, and 45°—to evaluate the influence of layer deposition on polymer material performance. Tensile and flexural tests revealed that GF-PEEK polymer exhibited significantly higher Ultimate Tensile Strength (110 MPa in X-orientation), Young's Modulus (4.5 GPa), and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 65–78 Read article
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Application-Driven Rule-Based Framework for Lubrication Failure Modes in Industrial Systems
Abstract: Modern lubricants increasingly rely on polymer-based composites, integrating synthetic base oils, polymer thickeners and solid additives like MoS₂ and PTFE for high-performance applications. These formulations not only enhance thermal and mechanical stability but also enable low-friction operation across diverse industrial conditions. Lubrication-related failures represent a critical cause of unplanned downtime and reduced reliability in industrial machinery. This paper presents an application-driven, rule-based framework designed to assess and mitigate lubrication failure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 522–531 Read article