Search
291 articles for “security techniques”
-
IoT Integration in Sustainable Agriculture
Abstract: The increasing demand for food production, environmental concerns, and resource limitations have necessitated the adoption of Internet of Things (IoT)-based innovative farming solutions. The current paper introduces an IoT-based system that integrates hydroponics, aquaponics, and poultry to promote sustainability, resource utilization, and agricultural productivity. Conventional farming practices are riddled with ineffective use of resources, uncertain environmental effects, and expensive operations. The new system facilitates real-time monitoring, automated decision support, and …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 2, 2025 · pp. 69–84 Read article
-
Advancements and Challenges in Automated Guided Vehicles for Smart Industrial Automation
Abstract: Automated Guided Vehicles (AGVs) are increasingly central to modern industrial automation, enhancing operational efficiency in manufacturing, warehousing, and logistics. Traditionally reliant on fixed paths using magnetic tapes or wired tracks, AGVs were limited in flexibility. However, recent technological advances have enabled the development of autonomous AGVs equipped with sensor fusion, LiDAR, computer vision, and artificial intelligence (AI). These features support real-time obstacle detection, dynamic path planning, and robust performance in …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
-
Anomaly Based Intrusion Detection Using Machine Learning Techniques
Abstract: Detection of Cyberattacks/anomalies in a network to build an efficient Intrusion Detection System (IDS) is very important. A system called an intrusion detection system (IDS) monitors network traffic in order to find suspicious activity and sends out signals when it is noticed. Monitoring and data analysis are designed with the objective of finding any network or system intrusions. Machine learning methods can anticipate both known and unidentified attacks. This project …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 1–8 Read article
-
Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
-
Exploring the Role of Advanced Shell Scripts for Malware Threat Detection
Abstract: This study investigates the application of advanced shell scripts in detecting malware threats within computer systems. As cyber-attacks become more sophisticated, traditional detection methods frequently prove inadequate, highlighting the need for innovative approaches. The research highlights the effectiveness of shell scripting in automating the monitoring and analysis of system behavior, file integrity, and network traffic. By leveraging patterns and signatures of known malware, the scripts can identify anomalies indicative of …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 3, 2024 · pp. 6–16 Read article
-
Applications of Nanomaterials in Soil Science and Agriculture: Enhancing Stability and Bioavailability through Nano-Encapsulation
Abstract: This research project focuses on the development and use of nanomaterials (NMs) for enhancing natural security in agricultural, feed, and food sectors. Protein-based and polysaccharide-based NMs, which self-assemble into micelle-like structures, have shown promise in improving the stability, bioavailability, and delivery of vital nutrients, agrochemicals, and medications through nano-encapsulation techniques. Nanomaterials such as modified nanoclays, including montmorillonite, have been employed in food packaging to enhance mechanical strength and create barriers …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 13, Issue 3, 2024 · pp. 23–28 Read article
-
Android Voting System Using Face Recognition
Abstract: This work investigates a novel authentication approach for online voting systems that includes facial recognition verification. The goal is to create an automated voting system that increases election security and voter convenience. Voters prefer to cast their ballots in designated areas, such as polling booths, resulting in long lines and the majority of people missing out on the chance to vote. Ineligible voters may potentially fabricate their ballots, generating a …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 15–20 Read article
-
Participatory Demonstration of Grass Strips as Biological Soil and Water Conservation Measures in Kamba Woreda, South Ethiopia
Abstract: Land degradation due to soil erosion and soil fertility depletion is a significant threat to the agricultural system, limiting food security and sustainable agricultural production. This study demonstrated Desho grass strips as biological soil and water conservation measures in Kamba woreda Gamo zone south Ethiopia. Six (6) nearby trial farmers who took part in the demonstration directly were chosen for the study using the purposive sample technique. Sole maize and …
Published in International Journal of Land · Vol. 1, Issue 1, 2024 · pp. 1–10 Read article
-
Advancements in Analytical Techniques and Validation Methods for Pharmaceutical Tablet Formulations Using HPTLC
Abstract: High Performance Thin Layer Chromatography (HPTLC) is a versatile analytical technique which has been effectively used for pharmaceutical quality control and cost effectively, rapidly, and high throughput analyzed tablet formulations. HPTLC is different from traditional chromatographic methods as multi sample analysis is possible in one run with low consumption of solvent, which are principles of green analytical chemistry. But existing HPTLC is limited in sensitivity, resolution and reproducibility and these …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 3, 2026 Read article
-
Non-Lethal Protection of Farmlands Against Wild Animals and Crop Estimation
Abstract: This paper is an integrated smart system that aims to enhance productivity related to agriculture along with agricultural safety through modern technology. Crop estimation system uses IoT sensors and machine learning algorithms for the analysis of real-time environmental data in terms of soil moisture, temperature, pH levels, and humidity. This data will further be used to provide the optimal crop for cultivation and appropriate fertilizer requirements for prediction of requirements. …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 18–24 Read article
-
Artificial Intelligence Techniques for Smart Polymer Nanocomposite Materials and Industrial Applications
Abstract: Protecting sensitive material data, manufacturing processes, and intelligent monitoring platforms is essential for the fast development of innovative polymer nanocomposite systems in fields such as aerospace, medicine, electronics, automobiles, and energy. In order to safeguard, consistently enhance, and optimize distributed industrial systems that consist of polymer nanocomposite materials, this study presents an AI-driven cybersecurity and cloud computing architecture. The suggested solution employs artificial intelligence (AI), machine learning (ML), cloud computing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1109–1134 Read article
-
Smart Water Management System for Precision Irrigation
Abstract: Water scarcity and inefficient irrigation practices remain critical challenges in modern agriculture, necessitating the adoption of intelligent and sustainable solutions. This review paper explores the concept and development of Smart Water Management Systems for Precision Irrigation, which integrate advanced technologies such as the Internet of Things (IoT), wireless sensor networks, artificial intelligence, and data analytics to optimize water usage. The study examines various system architectures, including sensor-based soil moisture monitoring, …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
-
Assessing Land Degradation and Restoration: Strategies for Sustainable Management
Abstract: Land degradation, defined as the loss of land quality and productivity, is a major danger to global food security, biodiversity, and water resources. This article investigates the numerous variables that contribute to land degradation, including deforestation, soil erosion, and land pollution. It emphasizes the urgent need for restoration efforts that focus on rehabilitating degraded lands through practices such as reforestation and agroforestry. Furthermore, the incorporation of climate-smart agriculture techniques is …
Published in International Journal of Land · Vol. 1, Issue 2, 2024 · pp. 26–29 Read article
-
Waste, Pollution and Path to Sustainability
Abstract: In the 21st century, waste management has emerged as one of the most critical environmental challenges due to rapid industrial growth, changing consumption patterns, and increasing urbanisation. Improper handling and disposal of waste significantly contribute to air, water, and soil pollution, posing serious threats to human health and the well-being of mankind. The uncontrolled dumping of solid waste, open burning, and discharge of untreated industrial effluents release toxic substances and …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 42–46 Read article
-
Detecting Fake Accounts on Social Media Using Machine Learning
Abstract: The growing frequency of fake accounts on social media platforms underscores the critical necessity for effective detection methods. In response to this challenge, our study leverages state-of-the-art machine learning techniques to identify and counter deceptive entities effectively. By conducting a thorough analysis of social media data, our approach unveils intricate patterns indicative of fraudulent accounts, enabling proactive measures against them. Through the application of advanced algorithms, we present a comprehensive …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 21–32 Read article
-
The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
-
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
-
E-Commerce Clothing Platform with Virtual Try-On
Abstract: The inability to physically evaluate garments remains a major limitation in online clothing commerce. Customers often depend on static product images and generalized sizing charts, which do not accurately represent individual body proportions. This frequently leads to uncertainty during purchase decisions and increased product return rates. To address this limitation, this research proposes a web-based clothing e-commerce platform integrated with an intelligent virtual try-on mechanism. The system allows users to …
Published in E-Commerce for Future & Trends · Vol. 13, Issue 1, 2026 · pp. 17–24 Read article
-
Computational and Molecular Aspects of DNA Profiling in Forensic and Biomedical Sciences
Abstract: DNA profiling has changed many diverse modern sectors, from health and criminal justice to ancestry research and animal conservation. It is one of the most important scientific instruments of our time. This technique makes it possible to identify people, analyze family relationships, and learn more about biology by looking at unique genetic markers in a person’s DNA. DNA profiling has changed the way forensic science works by making it easier …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 14–18 Read article
-
Enhancement of ATC using UPFC under Deregulated Environment
Abstract: Available transfer capability is the most important factor for the identification of power transfer from gencos to discos. In a deregulated power system, power producer and customer share a common transmission network for wheeling of the electric power. This may cause violation of line flow, voltage and stability limits and thereby undermine the security limit [1]. To improve the available transfer capability of the system FACTS controllers are used. UPFC …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 66–72 Read article