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192 articles for “change detection”
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Advancements in Nanotechnology and Biosensor Integration for Detection and Treatment of Alice in Wonderland Syndrome
Abstract: Alice in Wonderland Syndrome (AIWS) is an uncommon neurological condition characterized by profound distortions in perception. Individuals with AIWS experience altered body image and spatial awareness, often perceiving objects, surroundings, or even their own body as being unusually large, small, or distorted. The condition presents a unique challenge for both diagnosis and management due to its elusive and varied symptoms. This paper explores how advancements in nanotechnology and biosensor integration …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 1–12 Read article
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Integrating Sensor Technologies for Modern Soldier Sentinel Systems
Abstract: The Soldier Sentinel Sensor System (S4) is a cutting-edge technology developed for enhancing situational awareness and safety for military personnel in operational environments. This abstract provides an overview of the key features and benefits of the S4 system. S4 integrates advanced sensor technologies, including biometric sensors, environmental sensors, and location tracking modules, into a wearable and robust platform. The system continuously monitors vital signs, such as heart rate, body temperature, …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 6–11 Read article
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Comprehensive Comparative Analysis of Intrusion Detection Systems: Evaluating Signature Based, Anomaly Based, and Hybrid Approaches
Abstract: In the fast-changing world of cybersecurity, Intrusion Detection Systems (IDS) play a vital role in protecting digital resources. This study offers an in-depth comparative analysis to evaluate the efficiency and performance of different IDS solutions. It examines a variety of both commercial and opensource platforms, encompassing signature based, anomaly based, and hybrid models, to assess their effectiveness in identifying and responding to a wide range of cyber threats. Methodologies for …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 39–44 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
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Nanotechnology in Internet of Things: A Powerful Partnership Shaping the Future
Abstract: IOT holds potential to improve lives and revolutionize industries. However, its widespread adoption depends on addressing the growing energy consumption concerns. Nanotechnology provides a pathway to create a more energy-efficient IoT ecosystem by enabling the development of self-powered devices, low-power electronics, high-performance batteries, and advanced sensors. IoT is changing our daily lives and work by linking countless devices and producing vast amounts of data.. However, this explosive growth comes with …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
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Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Cutting- Edge Gravitational-Wave Detectors: Technology & Innovations
Abstract: Gravitational wave detectors using laser interferometry are sophisticated instruments designed to measure the ripples in spacetime caused by cosmic events such as the merging of black holes or neutron stars. This schematic outlines the fundamental components and working principle of a typical laser interferometric gravitational wave detector, such as those used in the LIGO and Virgo observatories. The core of the detector is an interferometer, typically a Michelson interferometer, with …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Face Mask Detection on Real Time Images and Videos using Deep Learning
Abstract: A big change has occurred in our day-to-day lives as a result of COVID-19. One of these changes is the widespread adoption of face masks as a preventative measure against the transmission of the virus. Because of this, face mask detection has developed into an indispensable technique in a variety of contexts, ranging from public areas to industrial settings. Artificial intelligence (AI) and machine learning algorithms are utilized in the …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 22–30 Read article
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Dynamic Traffic Control System with Emergency Vehicle Detection
Abstract: The project's goal is to create a density-based dynamic traffic light system in which the timing of the signal changes autonomously based on the density of traffic at any given junction. Traffic congestion is a major issue in most places around the globe, so it is time to transition from a more manual or set timer method to an automatic system with decision-making capabilities. The current traffic signaling system is …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 1, 2024 Read article
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Accident Avoidance and Crash Detection Using GSM and GPS
Abstract: The Accident Avoidance and Crash Detection system is designed to enhance vehicle safety by utilizing real-time accident detection, speed tracking, and automated crash prevention mechanisms integrated with GSM and GPS technologies. The system incorporates an accelerometer to identify abrupt changes in acceleration, indicating a potential collision. Upon detecting an accident, the system automatically transmits an alert message with the vehicle's GPS location to a designated mobile number using GSM technology, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 01–12 Read article
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The Integration of AI Technologies in Automating Cyber Defense Mechanisms for Cloud Services
Abstract: The swift growth of cloud computing has transformed how organizations handle and store data, providing greater scalability and adaptability. However, the transition to cloud-based environments has heightened the complexity of cybersecurity challenges, especially in detecting and responding to security incidents. Conventional methods of incident response, which heavily depend on manual efforts, are no longer adequate to address the rapidly evolving and complex nature of modern cyber threats. This study explores …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 1–14 Read article
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Advanced Computational Models for Predicting Molecular Interactions
Abstract: Understanding molecular interactions is essential for a number of disciplines, including biochemistry, materials science, and medication development. Traditional experimental methods, while accurate, are often time-consuming and expensive. Advanced computational models have emerged as powerful tools to predict molecular interactions efficiently. In order to predict the behavior and interactions of molecules at the atomic and subatomic levels, this paper reviews the most recent developments in computational techniques, such as machine learning …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
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Glaucoma Detection Using CNN
Abstract: The word “glaucoma” refers to both the progressive loss of retinal cells within optic nerve, and the gradual loss of vision caused by optic neuropathy. A condition that affects eye vision is called glaucoma. This condition is thought to be permanent and causes visual impairment. There are no early warning signs of this glaucoma in them. The effect is so subtle that we could not even observe that your vision …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 7–15 Read article
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Performance analysis of cross-slotted patch antenna for wireless system applications
Abstract: A C-band cross-slotted microstrip patch antenna for ice and frost detection in wireless sensing applications. The antenna configurations with distinct cross-slot geometries are designed to investigate their influence on impedance matching, radiation characteristics, and sensing sensitivity. The antennas are modeled and analyzed using Ansys HFSS, and their dimensions are optimized using standard microstrip antenna design equations. Ice and frost accumulation on the antenna surface is identified through measurable shifts in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 35–50 Read article
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Face Recognition or Detection using Image Processing and How Image will be Process Age Wise
Abstract: Biological feature popularity is a type of identification era that uses the person’s special mindset or behavior feature. It furnished of excessive accuracy, accurate balance technique to status prizing. Face reputation is very famous wing of the organic aspect popularity. And also, is very energetic situation in the range of laptop view and pattern popularity. Face detection is technique to hit upon face from a picture which have numerous aspects …
Published in Research and Reviews : Journal of Computational Biology Read article
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Lab Reagents and Their Importance in Bio-chemistry
Abstract: Biochemical reagents are essential substances in the study of life at the molecular level. These reagents help scientists detect, identify, and quantify bio-molecules such as proteins, carbohydrates, nucleic acids, and enzymes in biological systems. They play a vital role in understanding metabolic reactions and physiological processes within living organisms. Biochemical reagents are generally classified into analytical, diagnostic, enzymatic, chromogenic, and buffer reagents, each serving a specific purpose in laboratory and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article