All articles
30 articles
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FROM CLOUD TO EDGE – THE COMPREHENSIVE IMPACT OF EDGE AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how Edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology.Autonomous driving, smart cities, healthcare …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 Read article
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IoT-Driven Crane Management: Enhancing Efficiency Through Broadband Connectivity
Abstract: To address the challenges of scrap management and detect discrepancies in scrap loading and unloading, the system should include the following features: Operator Login: Implement a secure login system for operators to monitor individual performance and activity. Dashboard: Provide a dashboard for real-time monitoring of both operator performance and overall process efficiency. Data Collection: Gather data using existing weight sensors and the installed module. Separate Console and Server: Set up …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–7 Read article
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Impact of 5G Technology and IoT on Smart Cities
Abstract: This study aims to investigate the possible applications of 5G technology for smart city development and operation. 5G is the fifth-generation technology standard for cellular networks and as you already know, it features a super-fast downloading speed, response time (also known as latency), and massive connectivity. In this paper, a concise perspective is presented for 5G technology with its main attributes and functionalities including enhanced data rates (about ten times …
Published in International Journal of Broadband Cellular Communication · Vol. 15, Issue 3, 2024 · pp. 1–4 Read article
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Enhancing Image Quality with Deep Learning Techniques for Restoration and Denoising
Abstract: Abstract: Clear and high-quality images have become more and more necessary in recent years due to the rapid development of computer vision-based autonomous systems, including autonomous driving, underwater robots, video surveillance, and medical imaging. However, real-world circumstances, such as inclement weather, underwater scenes, and moving cameras, can lead to poorer-quality photographs. These degradations, which include color distortions, noise, and blurring, hurt how well visual systems accomplish tasks like target tracking, …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Eye Blink Gesture-based Home Automation Control System
Abstract: The "Eye Squint Gesture-Based Home Automation Control System" is an innovative approach to home automation that utilizes forward thinking gestures to control various household appliances and devices. The system enables users to control devices without the need for physical interaction through the use of a camera to capture and interpret the gestures made by users. This home automation system offers numerous benefits compared to traditional methods. One of the main …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 13–20 Read article
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A Smart Recommendation System for Carrier Shipper Matching Using Multilabel Classification – A Survey
Abstract: Efficient matching between carriers and shippers is crucial in the logistics industry to optimize resource utilization and minimize costs. This paper puts forth a smart recommendation framework dependent on multilabel classification techniques to improve the carrier-shipper matching process. The method makes use of machine learning techniques to predict multiple relevant carrier options for a given shipment request. We present a comprehensive literature review on related works in carrier-shipper matching and …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Innovative Solutions for Paralysis Care through Smart Technology and Automation
Abstract: When a part of the body becomes paralyzed, it sometimes even loses its feeling of touch. Multiple sclerosis, severe or lateral stroke, spinal cord injuries, and other conditions are common causes of paralysis. Moreover, disorders or trauma to the nervous system may disrupt the nerve signals that reach the extremities, resulting in paralysis. The goal of this proposed effort is to reinvent the treatment of paralysis by utilizing innovative approaches …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 21–25 Read article
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Innovative Robotic Solutions for Safe Landmine Detection and Neutralization
Abstract: Given the proliferation of weaponry in today's globe, national security is critical. It is crucial to consider the security of both army personnel and residents of places that are likely to experience conflict because of this. In essence, a landmine is an explosive weapon that the enemy has concealed underground. Anytime a person or a car passes over it, it explodes. The pressure created by people or cars on the …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 8–12 Read article
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Multi Label Sentiment Analysis of Covid Handling of Government through Tweets
Abstract: Determining someone's emotional state from a written text might be challenging, but it's crucial because textual expressions often transcend the use of emotion terminology. They emerge from the way concepts are seen and relate to one another inside the text. Text sentiment recognition is a critical skill for human-computer interaction. Text-based emotion recognition still requires further research, despite significant progress in speech and facial expression emotion detection. expressions and movements. …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 26–31 Read article