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1971 articles for “advancements” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Investigation of the Hall and Nernst-Ettingshausen Effects in Diluted Magnetic Semiconductors
Abstract: This review explores the Hall and Nernst-Ettingshausen effects in various magnetic systems, including diluted magnetic semiconductors (DMS), topological insulators, superconductors, and novel composite materials. In DMS, the interplay of ferromagnetism and magnetic impurities introduces unique transport behaviors, particularly influencing the anomalous Hall effect (AHE) and thermomagnetic phenomena. We also examine the Nernst-Ettingshausen effect (NE) in topological insulators and superconductors, revealing the influence of band topology and vortex-like excitations. Special attention …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 3, 2024 · pp. 1–5 Read article
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Swarm Intelligence in Software Engineering: A Systematic Review of Crowd-Based Development Models
Abstract: The crowd-based software production model has emerged as a transformative paradigm, leveraging global collaboration, decentralized governance, and artificial intelligence (AI)-driven automation to develop software efficiently. Traditional software development models, characterized by centralized control and in-house teams, are increasingly giving way to distributed, community-driven efforts. Key advancements such as blockchain-based decentralized autonomous organizations (DAOs), AI-assisted coding and debugging, and edge computing applications are reshaping the landscape of software engineering. DAOs provide …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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The Role and Functions of Computer Engineers
Abstract: Computer engineers play a crucial role in shaping the ever-evolving technological landscape by designing, developing, and optimizing computer systems and software. Their expertise spans various domains, including hardware design, embedded systems, software development, cybersecurity, and network architecture. These professionals contribute significantly to advancements across multiple industries, from healthcare and finance to telecommunications and artificial intelligence. This article delves into the diverse responsibilities of computer engineers, highlighting their involvement in problem-solving, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 37–51 Read article
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Unmanned Aerial Vehicle Using AI-ML
Abstract: Remotely piloted aircraft systems (RPAS), commonly known as drones, have evolved significantly in recent years, revolutionizing various industries and domains. This article provides an overview of the key aspects of RPAS technology, their applications, and the impact they have had on society. RPAS are autonomous or semi-autonomous aerial vehicles that can be controlled remotely, offering diverse capabilities, from data collection and surveillance to cargo delivery and recreational activities. This abstract …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 11–19 Read article
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Next-Generation Satellite Remote Sensing: Innovations, Applications, and Future Prospects
Abstract: Advances in satellite remote sensing have revolutionized our ability to monitor, analyze, and understand the Earth's environment across various scales. Over the past few decades, the field has seen remarkable progress in sensor technology, data processing techniques, and analytical methodologies. Modern satellites now provide high-resolution imagery and multi-spectral data, enabling enhanced monitoring of land cover, atmospheric conditions, oceanic dynamics, and natural disasters. These advancements have facilitated improvements in climate change …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 37–62 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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Automated Systems for Efficient Medical Stores
Abstract: Medication plays a crucial role in today’s world, and with technological advancements, automation has become essential to save time and effort. One such innovation is “Medical Store Automation”, an automated system designed to enhance healthcare management. This system incorporates an automatic drawer-opening or cabinet system integrated with stock inventory. Its primary objective is to locate the desired medicine quickly by automatically opening the corresponding drawer, minimizing time spent searching. This …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 13–20 Read article
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Enhancing Puberty in Dairy Heifers: Targeted Management Practices For Sustainable Development.
Abstract: Early attainment of puberty in dairy heifers is critical for improving reproductive efficiency and ensuring sustainable dairy production systems. This study explores targeted management practices that can accelerate puberty onset, contributing to enhanced productivity and economic viability in dairy farming. Key factors influencing puberty in heifers include nutritional management, genetic potential, health care, environmental factors, and behavioral interventions. Adequate nutrient supply, especially energy and protein, along with balanced mineral and …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 2, 2025 · pp. 28–35 Read article
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Biomimetic Approaches to Damage Tolerance: Lessons from Natural Materials
Abstract: Biomimicry has emerged as a powerful and innovative strategy for designing materials with enhanced damage tolerance by drawing inspiration from biological systems found in nature. Various natural materials, such as bone, nacre (mother-of-pearl), and spider silk, display exceptional mechanical properties, including high toughness, superior strength, and inherent self-healing capabilities. These remarkable attributes arise from their complex hierarchical architectures and adaptive mechanisms, which have been refined over millions of years through …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 11–16 Read article
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Real-Time Video Surveillance Using ESP-32 CAM for IoT Applications
Abstract: The rapid advancements in technology and the growing concerns for security have driven the need for innovative, cost-effective, and scalable surveillance systems. This project presents the development of a smart surveillance system using the ESP-32 CAM module, a compact and low-cost microcontroller integrated with Wi-Fi, Bluetooth, and a high-resolution OV2640 camera. The system is designed to provide real-time monitoring, motion detection, and automated alert features, catering to the security needs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 26–35 Read article
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Investigations On Use of Poly(3,4-Ethylenedioxythiophene): Poly (Styrene Sulfonic Acid) (PEDOT: PSS) Conductive Polymers for Design of Improved EEG Based Brain Computer Interface for Seizure Control and Analysis
Abstract: This research explores the application of Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonic acid) (PEDOT:PSS) conductive polymers in the design of an enhanced Electroencephalography (EEG)-based Brain-Computer Interface (BCI) for seizure control and analysis. PEDOT: PSS, known for its high conductivity, flexibility, and biocompatibility, is employed to improve the efficiency and sensitivity of EEG electrodes, addressing challenges such as signal noise, skin-electrode impedance, and user comfort. The study evaluates the material’s properties, including its electrical conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 223–241 Read article
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Effectiveness of PTFE-Based Nano-coatings in Improving Corrosion and Wear Resistance of Stainless Steel
Abstract: Polytetrafluoroethylene (PTFE) has emerged as a highly effective material for enhancing the durability and performance of metal surfaces, particularly in environments requiring superior corrosion resistance and low friction. This study investigates the application of PTFE coatings on various metallic substrates, with a focus on stainless steel and carbon steel, to improve their corrosion resistance, wear protection, and tribological performance. Utilizing advanced deposition techniques such as sol-gel and plasma spray, PTFE …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 32–38 Read article
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Utilizing Drones for Tracking Wild Life Conservation: Tracking Census and its Anti Poaching Efforts
Abstract: Remote-controlled conservation drones can gather data from hard-to-reach locations with the least amount of disruption. Drones are being employed more and more in various research fields, but there is still much to learn about how they might be applied to wildlife study. Remote-controlled conservation drones can gather data from hard-to-reach locations with the least amount of disruption. Drones are being employed more and more in various research fields, but there …
Published in International Journal on Drones · Vol. 1, Issue 1, 2025 · pp. 36–43 Read article
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Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
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Role of Machine Vision in Autonomous Vehicles: A Review
Abstract: The integration of machine vision in autonomous vehicles (AVs) is a critical advancement in the field of intelligent transportation systems. Machine vision systems enable AVs to perceive their environment, understand road conditions, detect obstacles, and make real-time decisions necessary for safe navigation. These systems rely heavily on image processing techniques, which have evolved significantly over the past decade, leading to improved performance in complex driving scenarios. These developments are largely …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Digital Transformation in Public Transport Management
Abstract: The digital transformation of public transport systems has emerged as a critical driver for improving urban mobility and addressing the growing challenges of congestion, inefficiency, and environmental sustainability. Public transport management systems are advancing through the integration of cutting-edge technologies like cloud computing, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT). These innovations enhance efficiency, intelligence, and user experience, making transportation more seamless and responsive to …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 17–21 Read article
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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Limits to Knowledge-Sharing by Computers
Abstract: The rapid advancement of artificial intelligence (AI) and machine learning (ML) has significantly enhanced the capabilities of computers in processing, analyzing, and disseminating knowledge. However, despite these advancements, there are inherent limits to the extent that knowledge-sharing can be fully realized through computer systems. This study explores the various barriers that hinder the effective sharing and transfer of knowledge through machines, including technological limitations, ethical concerns, and the complexities of …
Published in Current Trends in Information Technology · Vol. 15, Issue 2, 2025 · pp. 01–05 Read article
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Biohybrid Machines: Integrating Organic Systems with Robotics for Enhanced Mobility and Function
Abstract: Biohybrid machines are an innovative frontier at the intersection of biological systems and robotics. This research field explores the integration of living organisms with machines, combining the advantageous characteristics of both synthetic materials and biological components. Through the integration of organic cells, tissues, and even entire organisms with robotics, biohybrid machines possess unique capabilities such as self-healing, adaptability, and energy efficiency, making them more suitable for tasks that require flexibility …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 30–37 Read article
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article