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185 articles for “data processing”
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RF Integrated Circuits: Fundamentals & Basic Concepts
Abstract: Radio Frequency Integrated Circuits (RFICs) are essential building blocks of current wireless communication systems, integrating high frequency analogue components on a single semiconductor chip. Such circuits have a wide use in applications like mobile communication, satellite systems, radar, wireless networking and Internet of Things (IoT) devices. RF integrated circuits are designed to function efficiently at radio frequencies with low power consumption, small size and good performance. The future of wireless …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 24–31 Read article
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A study on additive manufacturing with optimization of artificial intelligence
Abstract: Abstract The process of producing a three dimensional product layer by layer is called additive manufacturing. This process not the same as a traditional machining procedure. Chips are taken out of the raw material to create a component in traditional machining. three dimensional printing is another name for additive manufacturing. The benefit of three dimensional printing is that it can create any complex three dimensional item. The culinary, chemical, aerospace, …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 19–40 Read article
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Integrating Cellular Automata for Predicting Urban Expansion: A Case Study of Bavdhan, Sus, and Mahalunge
Abstract: Rapid Urban Expansion in the metropolitan cities like Pune, result in indiscriminate land use changes transforming natural landscapes. Such haphazard spatial development poses a risk to depletions of resources along with the disarray of the ecological system. A proactive approach to predicting and analyzing such changes is necessary in promoting the well-managed growth of cities. For the complex nature of urban growth, simulation method is used for analyzing spatial patterns, …
Published in International Journal of Town Planning and Management · Vol. 12, Issue 1, 2026 · pp. 51–62 Read article
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Wireless Sensor Networks and Its Clustering Algorithm
Abstract: Distributed sensor nodes that gather and send data wirelessly make up Wireless Sensor Networks (WSNs), which are crucial for several applications, including industrial automation, smart cities, healthcare, and environmental monitoring. However, effective data transfer and network management are crucial issues because of their constrained battery life and processing power. By grouping sensor nodes, lowering energy usage, and extending network lifespan, clustering algorithms are essential for improving network efficiency. To reduce …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 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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Legal Ease: An End-to-End Automated Legal Document Processing System Using LLMs and OCR
Abstract: This paper describes an automated legal document processing system that uses modern technologies, such as Large Language Models (LLMs) and Optical Character Recognition (OCR). Designed to streamline legal procedures, the system allows users to submit legal documents in PDF format and uses Tesseract-powered OCR to extract and digitize text while keeping the document’s layout and structure. The digitized text is processed by an LLM that has been fine-tuned using legal …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 29–32 Read article
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Major Analytical Problems in Current Pharmaceutical Drug Products
Abstract: Substances of pharmaceutical drug products go through thorough analyses to check the safety, efficacy as well as the quality of the final product. There are a number of shortcomings even though much has been done in the analytical methods used in recalls. Such challenges are those concerning method validation, sensitivity, specificity, reproducibility, and regulation. This article on major analytical problems in current pharmaceutical drug products outlines major limitations in the …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 1, 2025 · pp. 29–39 Read article
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The Impact of Green Buildings on the Development of a Sustainable Environment in Developing Countries
Abstract: The construction sector is essential for driving socio-economic development in every nation. Much advancement in sustainable construction technologies and practices are widely recognized and embraced throughout all sectors of the construction field. However, Nigeria is faced with substantial barriers hindering the widespread adoption of this current pool of research progressive architectural approach. The objectives of this study is to provide an extensive analysis of contemporary trends and prospects in green …
Published in International Journal of Housing and Human Settlement Planning · Vol. 10, Issue 2, 2024 · pp. 40–53 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
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Real-Time Traffic Management System Utilizing Machine Learning Techniques
Abstract: AbstractThe rapid increase in the number of vehicles on roads has created significant challenges forconventional traffic management systems, which struggle to efficiently regulate traffic flow undervarying conditions. Traditional traffic signals operate on fixed timing cycles, failing to adapt tofluctuating vehicle densities across different lanes. This inefficiency results in unnecessary delays,increased congestion, longer travel times, and excessive fuel consumption. Additionally, fixed-timingsignals do not account for dynamic traffic patterns, leading to bottlenecks …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 24–31 Read article
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Challenges to Implementation of Adaptive Reuse of Heritage Buildings
Abstract: The growing focus on sustainable adaptability to ensure global climate protection and minimize emissions within the built environment has spurred international research efforts. The construction industry is a significant consumer of resources. Therefore, it is essential to advocate for sustainability by promoting the adaptive reuse of existing buildings. The sustainable preservation of historic structures requires the incorporation of sustainable design principles and presents a viable alternative to demolition and new …
Published in International Journal of Architectural Heritage · Vol. 7, Issue 2, 2024 · pp. 19–32 Read article
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Estimation of Crop Yield Prediction Using Machine Learning Technique.
Abstract: Agriculture serves as the primary source of livelihood for a significant portion of India's population, but it faces a myriad of challenges, including climate variability, soil fertility issues, and reliance on traditional farming practices. To address these challenges, researchers are increasingly turning to machine learning (ML) methodologies to predict crop yields more accurately. Studies have delved into the effectiveness of various ML algorithms such as Random Forest, Gaussian Process Regression, …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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Digital Archives and Metadata Standards for Architectural Heritage: A Comparative Review
Abstract: Architectural heritage – including historic buildings, monuments, landscapes, and traditional urban fabric – constitutes a vital repository of cultural, aesthetic, and scientific values. Digital archiving such heritage is increasingly necessary for preservation, research, documentation, education, and public engagement. However, the effectiveness of digital archives depends vitally on the metadata standards used: the structure, semantics, interoperability, and preservation of metadata can enable or hinder access, reuse, long‐term sustainability, and meaningful comparisons …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 2, 2025 · pp. 7–13 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 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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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 Read article
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Personalized Movie Recommendations: Leveraging Machine Learning to Enhance Viewer Experience
Abstract: The film industry has experienced a tremendous surge in content creation over the past few decades, leading to an overwhelming array of movies across various genres and languages. As a result, movie enthusiasts often find it challenging to discover films that align with their unique preferences and tastes. To address this issue, the application of machine learning techniques for movie recommendation has gained prominence. An introduction to the idea and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Tap & Serve: Digital Restaurant Management System
Abstract: Tap & Serve is a clever and user-friendly digital solution that makes restaurant operations much more efficient. Order taking, inventory control, billing, and ensuring that consumers receive excellent service are just a few of the daily duties it facilitates. Utilizing cutting-edge technology such as mobile apps, cloud storage, and real-time data, Tap & Serve reduces errors, saves time, and maintains efficiency. With the use of extensive analytics and reporting capabilities, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 16–25 Read article
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Numerical Investigation of Hybrid Composite Armors: Cost-Effective Solutions for Ballistic ProtectionUsing ANSYS
Abstract: This study presents a detailed numerical investigation of hybrid composite armors as a cost-effective and lightweight solution for ballistic protection. With increasing the demand of protective systems that ensure high mobility with light weight and cost-effective armor without compromising safety. Traditional steel armor has already proven to be a reliable protection system but the main problem is its mobility. To address this issue, the work focuses on composite material as …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 2, 2025 · pp. 1–11 Read article
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Employing ML and DL to Optimize an ElectrochemicalBiosensor
Abstract: A major field of study in science, that have made the understanding of the world and made homo sapiensthe dominant species on the planet is our understanding of medicine. Under this vast umbrella is thedetection and classification of microorganisms. Electrochemical biosensors have emerged aspromising tools in this regard due to their high sensitivity, selectivity, and potential for miniaturization.By integrating a Machine Learning & Deep Learning model for the detection of …
Published in International Journal of Chemical Separation Technology · Vol. 10, Issue 1, 2024 · pp. 33–38 Read article