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112 articles for “Artificial intelligence”
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Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy Integration
Abstract: The rapid expansion of large-scale renewable energy systems has significantly increased the demand for highly reliable and fault-resilient power electronic converters capable of maintaining stable grid operation under component failures and fluctuating renewable power generation. This paper proposes a Fault-Tolerant Modular Power Converter (FTMPC) for large-scale renewable energy integration, incorporating a modular multilevel architecture, intelligent fault diagnosis, and adaptive reconfiguration control to ensure uninterrupted power conversion. The proposed converter continuously …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Emerging trends and challenges in telecommunications: a review of 5G/6G, softwarization, edge intelligence, IoT security and enabling technologies
Abstract: Telecommunications research over the last decade has accelerated from the deployment and optimization of 5G to early explorations of 6G, driven by demands for extreme data rates, ubiquitous low-latency connectivity, massive device density and novel services such as extended reality (XR) and holographic communications. This review synthesizes recent developments across six interlocking technology areas: radio access and physical-layer advances (5G/6G), network softwarization (SDN/NFV), edge and cloud-native architectures, artificial intelligence for …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 38–43 Read article
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Intelligent Communication Networks for Telematics and Telemetry Applications: A Comprehensive Review
Abstract: Intelligent communication networks have become a fundamental component of modern telematics and telemetry systems, enabling reliable, real-time, and data-driven communication across various industrial, transportation, healthcare, and environmental monitoring applications. The rapid growth of wireless communication technologies, Internet of Things (IoT) devices, cloud computing, and artificial intelligence has significantly enhanced the efficiency, scalability, and adaptability of telematics and telemetry infrastructures. This review paper presents a comprehensive analysis of recent developments in …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 46–57 Read article
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Multifunctional Composite Materials: Innovations AndApplications
Abstract: The development of multifunctional composite materials has revolutionized various industries byintegrating multiple functionalities into single material systems. These advanced composites, designedto perform more than one function, offer significant advantages in terms of performance, efficiency,and sustainability. This paper explores the latest innovations in multifunctional composite materials,focusing on their design, fabrication, and diverse applications. Innovations in this field have led to thecreation of composites that combine structural integrity with additional capabilities such …
Published in International Journal of Composite Materials and Matrices · Vol. 10, Issue 1, 2024 · pp. 28–34 Read article
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AI-Optimized Reconfigurable Microstrip Bandpass Filters for DynamicSpectrum Access in 6G Networks
Abstract: The evolution toward sixth generation (6G) wireless networks introduces unprecedented demands on spectral efficiency, ultra-low latency, and real-time adaptability to dynamic radio environments. Central to this transformation is the requirement for intelligent, spectrum-agile radio front ends that can seamlessly operate across heterogeneous frequency bands. Dynamic Spectrum Access (DSA) addresses this challenge by enabling transceivers to autonomously detect, evaluate, and utilize the most suitable spectrum opportunities. The realization of DSA in …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 30–38 Read article
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Advances in Reproductive Biotechnology: Innovations in Artificial Insemination and IVF Techniques
Abstract: Reproductive biotechnology has transformed infertility management and animal breeding, with artificial insemination (AI) and in vitro fertilization (IVF) playing pivotal roles. Historically, these technologies have evolved from experimental concepts to essential tools in reproductive medicine and agriculture. AI, introduced in the early 20th century, became instrumental in optimizing breeding programs by allowing selective fertilization without physical mating, thus improving genetic diversity and disease control in livestock. Meanwhile, IVF, developed in …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 2, 2024 · pp. 11–15 Read article
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Analyzing Applications and Risks of IoT in Education: A Comprehensive Approach
Abstract: By promoting student involvement, increasing administrative effectiveness, and developing intelligent learning environments, the Internet of Things (IoT) is revolutionizing the education industry. Smart classrooms, interactive whiteboards, and real-time attendance systems are just a few examples of IoT-powered gadgets that are enhancing accessibility and customization in education. The potential impact that IOT can have on various industries is huge, including the education industry. IoT (internet of things) can be said as …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 20–28 Read article
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Brain-Inspired Computing: The Rise of Neuromorphic AI
Abstract: Neuromorphic computing is an emerging computing paradigm that draws inspiration from the structure and operational principles of the human brain. By integrating ideas from neuroscience, computer design, and materials science, neuromorphic systems aim to deliver high-performance, low-power computation that is suitable for smart data processing. Unlike traditional von Neumann architectures, neuromorphic hardware uses massively parallel processing, event driven computation, and adaptive learning. This paper provides an overview of neuromorphic principles, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 2, 2026 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Microbial and Enzymatic Degradation of Polyethylene: Molecular Mechanisms, Omics Approaches, and Biotechnological Applications
Abstract: Abstract: Polyethylene (PE), a commonly used synthetic polymer, is highly resistant to natural breakdown, leading to serious environmental and ecological issues such as soil and marine pollution, the formation of microplastics, and risks to wildlife and human health. Recent efforts have focused on using microbial and enzymatic processes to handle polyethylene waste. Microorganisms such as bacteria (Pseudomonas, Bacillus), fungi (Aspergillus, Penicillium), and algae produce enzymes like laccases, peroxidases, oxygenases, and …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 2, 2026 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Integrated Telecommunication Systems: Networking,Security, and Emerging Technologies inNext-Generation Communication Networks
Abstract: Integrated telecommunication systems play a crucial role in enabling reliable, high-speed, and scalablecommunication across modern digital infrastructures. This paper presents a comprehensive review ofintegrated telecommunication systems with a focus on networking architectures, security mechanisms,and emerging technologies in next-generation communication networks. It examines the fundamentalcomponents of communication systems, including transmission media, communication channels, andstandardized networking protocols, highlighting their contribution to efficient data exchange andsystem interoperability. The study explores both wired and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 36–45 Read article
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AI-Assisted Code Generation: Integrating Natural Language Models with Compiler Frameworks for Enhanced Software Development
Abstract: The rapid evolution of Artificial Intelligence (AI) has profoundly transformed contemporary software engineering practices, particularly through the emergence of AI-assisted code generation driven by large-scale natural language models (NLMs). These models, trained on extensive repositories of source code and technical documentation, enable developers to generate, modify, refactor, and optimize source code directly from natural language instructions, thereby significantly reducing manual coding effort and accelerating overall software development cycles. By allowing …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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AI-Based Deepfake Voice Detection Model for Hindi Language
Abstract: Most current research on deepfake voice detection focuses heavily on English or Mandarin, creating a significant security gap for Hindi speakers. To address this, we developed a detection framework specifically tailored for the Hindi language using a lightweight approach: Mel-Frequency Cepstral Coefficient (MFCC) feature extraction paired with an XGBoost classifier. We trained the system on a large dataset comprising over 99,000 real voice samples and roughly 3,800 synthetic samples, each …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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Microelectronics: Reach, Functions, and Worldwide Effects
Abstract: Microelectronics has changed modern life by making it possible to make small, powerful, and efficient electronic systems. This article looks at the basic ideas behind microelectronics, with a focus on how to design and make integrated circuits and semiconductor devices that power the technologies we use every day. It also highlights how crucial advanced lithographic methods and fabrication techniques are for attaining high precision and scalability in the contemporary production …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 33–46 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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A Review of Adaptive Power Control Methods in Broadband Networks
Abstract: Broadband communication networks have experienced rapid growth due to the increasing demand for high-speed wireless connectivity, multimedia services, cloud computing, and Internet-based applications. As network traffic and user density continue to rise, efficient power management has become an essential requirement for maintaining communication quality, improving spectrum utilization, and reducing overall energy consumption. Adaptive power control methods play a critical role in optimizing transmission performance by dynamically adjusting signal power according …
Published in International Journal of Broadband Cellular Communication · Vol. 12, Issue 1, 2026 · pp. 17–28 Read article
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Investigating Analogue Gravity Phenomena through Electronic Black Holes: A Study
Abstract: The universe, in its grand cosmic ballet, is replete with mysteries, and among the most profound are the enigmatic black holes. These celestial behemoths, born from the collapse of massive stars, warp spacetime to such an extent that nothing, not even light, can escape their gravitational embrace. Their behavior, governed by Einstein's theory of General Relativity, pushes the boundaries of our understanding, presenting phenomena like Hawking radiation – a quantum …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 9–24 Read article
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Smart Hospital Bed System for the Prevention and Management of Bedsores and Pressure Ulcers
Abstract: Pressure ulcers, also known as bed sores, represent a critical challenge in modern healthcare, particularly among immobilized and critically ill patients, leading to increased morbidity, prolonged hospital stays, and higher healthcare costs. Recent advancements in smart healthcare technologies have enabled the development of smart hospital bed systems that integrate sensors, automation, and artificial intelligence to prevent and manage pressure ulcers effectively. These systems incorporate features such as pressure redistribution, automatic …
Published in International Journal of Nursing Critical Care · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article