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557 articles for “Networks”
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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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Review of Anomaly Detection Techniques in MANETs: AMachine Learning Approach to Intrusion Detection, Attack Prediction, and Routing Security
Abstract: Mobile Ad hoc Networks (MANETs) are decentralized, self-organizing networks that offer flexibility and scalability for a variety of applications. However, their dynamic topology and limited resources make them highly susceptible to security threats. Traditional security measures often struggle to address the complexities of evolving and sophisticated attacks within such networks. This paper reviews the role of machine learning (ML) techniques in enhancing anomaly detection capabilities in MANETs, focusing on their …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 1–5 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Predictive Models for Drinking Water Quality: Leveraging Machine Learning for Improved Safety and Efficiency
Abstract: Quality of drinking water is one of the critical determinants of public health, leading to severe environmental and health-related issues when poor. The paper examines the integration of machine learning techniques that could improve accuracy and efficiency in assessing drinking water quality. The traditional techniques of monitoring drinking water are resource-intensive yet lack timely insight into contamination events. In this scenario, an evaluation of the performance of ML models such …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
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Multi-Objective Optimization of Distributed Generator in the Transmission System
Abstract: This paper proposes a multi-objective optimization method to determine the optimal size allocation of four different types of distributed generators, that is, TYPE-1, TYPE-2, TYPE-3, and TYPE-4 in transmission networks. In one such optimization strategy, distributed generators are injected after the Newton–Raphson method, a popular power flow analysis tool, has been applied first. A power system’s steady-state operating conditions, including voltage magnitudes, phase angles, line flows, and power losses, can …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 9–18 Read article
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Multi-Objective Optimization of Distributed Generator in the Transmission System
Abstract: This paper proposes a multi-objective optimization method to determine the optimal size allocation of four different types of distributed generators, that is, TYPE-1, TYPE-2, TYPE-3, and TYPE-4 in transmission networks. In one such optimization strategy, distributed generators are injected after the Newton–Raphson method, a popular power flow analysis tool, has been applied first. A power system’s steady-state operating conditions, including voltage magnitudes, phase angles, line flows, and power losses, can …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 9–18 Read article
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Modeling and Simulation of Adaptive Traffic Control Systems: Electrical Engineering Techniques for Urban Applications
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These systems use real-time data …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 1–8 Read article
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Facial Emotion Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and Haar Cascade classifiers. The suggested method uses CNN to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
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Advances in Gender Classification from Facial Images Using CNNs: A Comprehensive Review
Abstract: Predicting age and gender from facial images is important for various uses, like social interactions, security, and customizing user experiences. Despite progress in facial recognition technology, getting accurate and reliable predictions is still a challenge. This paper reviews recent advancements in Convolutional Neural Networks (CNNs) for age and gender classification, comparing their effectiveness to traditional methods. CNNs excel in extracting features from images and have shown notable improvements in accuracy …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Customer preferences in adopting AI in their building designs: A Perspective case study from Saudi Arabian architects
Abstract: Recent AI advances have improved Saudi building design inventiveness, efficiency, and cultural sensitivity. Automating tedious activities like image resizing and layout optimization with AI helps designers focus on novel concepts. AI may assess client preferences and society conventions to assist designers adapt their ideas to local cultural values, making architectural development projects more appealing. Even though it has many advantages, artificial intelligence in architecture is confronted with several challenges. The …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 10, Issue 2, 2024 · pp. 25–40 Read article
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Identifying Fake News Using Big Data
Abstract: In today's world, where digital information spreads swiftly, the rise of fake news poses a threat to society. This research paper presents a method to address this issue by employing data analytics. To address the issues of misinformation, public manipulation, and threats to democracy we propose a framework. Our strategy incorporates advanced methodologies, including natural language processing, machine learning, and network analysis. Using these techniques, we examine various data sources …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 7–14 Read article
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A Review Based on Reactive Protocols in MANETs
Abstract: Mobile ad hoc network (MANETs) are networks which routing is based on multi-hop routing from a source to a destination node or nodes. These networks have quite many constraints because of uncertainty of radio interface and its limitations. For instance, in available bandwidth. There are various applicable protocols for ad hoc networks, but one confusing problem is the vast number of separate protocols. Each of these protocols is designed to …
Published in International Journal of Distributed Computing and Technology · Vol. 3, Issue 2, 2017 · pp. 1–13 Read article
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Performance Improvement in Diffie–Hellman Algorithm
Abstract: ABSTRACT Communication is the important part in any type of network for making it possible to transfer data from one node to another. Communication needs quality and security for better performance and for acceptance of users and client companies. Quality is depending on length and a few different elements of community however safety could be very subject parameter in network as it is independent of community length and complexity. Safety …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 20–23 Read article
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Diffie–Hellman Key Exchange Protocols Enhanced
Abstract: ABSTRACT Conversation is the crucial element in any type of network for making it viable to transfer data from one node to another. Conversation needs first-rate and security for higher performance and for acceptance of users and customer organizations. Value is dependent on length and some different elements of network but protection is very concern parameter in network as it is independent of network size and complexity. Security has come …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 5, Issue 1, 2019 · pp. 1–5 Read article
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Microwave Frequency Optimization Techniques for High-Speed Wireless Communication
Abstract: The rapid growth of mobile devices, cloud computing, Internet of Things (IoT), smart applications, and high-definition multimedia services has significantly increased the demand for high-speed wireless communication systems. Microwave communication technologies play a vital role in modern wireless networks because they provide large bandwidth, high data transmission rates, low latency, and efficient spectrum utilization. Microwave and millimeter- wave frequencies are widely used in satellite communication, radar systems, wireless broadband, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 14–21 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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Emergency Telecommunications: A Critical Necessity in Times of Crisis
Abstract: Emergency telecommunications play a crucial role in crisis management by enabling efficient coordination of rescue operations, ensuring the dissemination of critical information, and maintaining communication between authorities and the public. Whether during natural disasters, industrial accidents, or terrorist attacks, reliable communication systems are essential for an effective response. This paper examines the diverse functions of emergency telecommunications, emphasizing their significance, the technologies utilized, recent advancements, and the challenges that must …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Image Caption Generator Implementation
Abstract: Image caption generation is a software technology that takes an image as an input and produces a descriptive caption in text form. In the modern era, this technology finds application in various fields. For instance, automatically generating captions for medical images aids in diagnosis and enhances reporting efficiency, helping healthcare professionals to quickly interpret complex visuals. In the realm of autonomous vehicles, image captioning enables these vehicles to understand and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 18–23 Read article