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137 articles for “transformer architecture”
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Artificial Intelligence Techniques for Smart Polymer Nanocomposite Materials and Industrial Applications
Abstract: Protecting sensitive material data, manufacturing processes, and intelligent monitoring platforms is essential for the fast development of innovative polymer nanocomposite systems in fields such as aerospace, medicine, electronics, automobiles, and energy. In order to safeguard, consistently enhance, and optimize distributed industrial systems that consist of polymer nanocomposite materials, this study presents an AI-driven cybersecurity and cloud computing architecture. The suggested solution employs artificial intelligence (AI), machine learning (ML), cloud computing, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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6G Frontier Exploration Analysis: Technologies, Vision, Insight and Challenges
Abstract: 6G wireless communication represents a revolutionary leap forward in connectivity, offering unprecedented speed, reliability, and security. Emphasizing machine-to-machine communication, terahertz frequencies, and advanced security protocols, 6G aims to create a data-driven society where connectivity is instant and limitless. By integrating cutting-edge innovations such as artificial intelligence, 6G has the capacity to reshape various sectors, including healthcare, urban planning, and manufacturing, facilitating smarter and more efficient systems. The current paper provides …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 25–33 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Architectural and Technological Progress in Modern Mobile Computing
Abstract: Over the last decade, mobile technologies have experienced rapid and transformative growth, reshaping the way individuals interact with the world and redefining multiple sectors, including healthcare, education, communication, and commerce. Continuous improvements in mobile hardware, such as faster processors, enhanced sensors, and longer-lasting batteries, have significantly improved device performance and usability. At the same time, the widespread development of mobile applications has expanded the functional scope of smartphones, enabling personalized, …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 1, 2026 · pp. 20–31 Read article
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Optimized Web-based Online Food Ordering System: Design and Implementation
Abstract: Online food ordering systems have undergone a profound metamorphosis with the advent of digital technologies, catalyzing a pivotal shift in the operational dynamics of the gastronomic sector. This paper elucidates the conceptualization, design, and implementation of an advanced, web-based food ordering system, meticulously engineered to elevate the efficiency and sophistication of food service operations. Employing the rigorously structured Systems Analysis and Design Methodology (SSADM), this system represents a transformative departure …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 1–25 Read article
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Study and Analysis of Developments in ChatGPT and Impact on Humanity
Abstract: This research paper examines the ChatGPT model of Artificial Intelligence, including its architecture, training process, applications, issues, and future advancements. ChatGPT employs a transformer-based design and undergoes pre-training and fine-tuning procedures. Its applications are conversational AI, translation, content generation, and research. In the real world, you can find it helping in online shops, banks, hospitals, and customer service. We also want to make sure it treats everyone fairly, stays safe, …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 2, 2023 · pp. 18–25 Read article
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Generative AI for VR: Creating Physically Realistic Models
Abstract: Virtual Reality has revolutionized the traditional learning system by creating and interactive and engaging environment. However, its ability to show precise real-world experiences is limited due to lack of physical realism. This study investigates the potential of Generative Adversarial Network (GAN) in creating physically realistic 3D models. Proposed system incorporates deep learning techniques along with physics-based constraints to enhance model’s accuracy and usability. To achieve this, experiments were conducted on …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 14–22 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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Accelerating Innovation: Design, Development, and Manufacturing of Artificial Intelligence- Enhanced Smart Electric Vehicles
Abstract: This research paper delves into the dynamic landscape of automotive engineering, focusing on the accelerated innovation facilitated by the integration of artificial intelligence (AI) in the design, development, and manufacturing processes of smart electric vehicles (SEVs). With sustainability and efficiency at the forefront of contemporary transportation initiatives, SEVs stand as a beacon of technological advancement, offering a paradigm shift towards eco-friendly mobility solutions. By harnessing the power of AI algorithms, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 9–25 Read article
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Optimized Hardware Realization of AES for High-Throughput FPGA Platforms
Abstract: The Advanced Encryption Standard (AES) is the predominant symmetric-key cryptographic algorithm used for securing digital communication across embedded systems, IoT devices, cloud infrastructures, and defense networks. Although software-based AES implementations offer flexibility, they often fail to meet the high-speed, low-latency, and energy-efficient requirements of modern real-time applications. Reconfigurable hardware platforms such as Field-Programmable Gate Arrays (FPGAs) provide a powerful alternative by enabling architectural customization, intrinsic parallelism, and optimized hardware acceleration. …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 11–22 Read article
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AI-Optimized Itinerary Design: Transforming the Future of Travel Planning
Abstract: The travel industry is struggling to meet the rising demand for efficient and personalized trip planning. Traditional methods often lack real-time updates and fail to adapt to individual preferences, necessitating innovative solutions. This study presents an AI-powered travel planner utilizing the Gemini API to enhance itinerary creation. By analyzing user preferences, interests, and real-time data, the system delivers tailored travel recommendations. Leveraging advanced technologies such as cloud computing, machine learning, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 74–82 Read article
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Explainable GeoAI-Based Multi-Temporal Remote Sensing Framework for Early Detection of Climate-Induced Land Cover Transformation
Abstract: Climate change has emerged as one of the primary drivers of rapid land cover transformation, affecting ecosystems, agricultural productivity, biodiversity, and regional sustainability. Traditional remote sensing approaches often face challenges in detecting subtle and early-stage land cover changes due to limitations in temporal analysis and model interpretability. This study proposes an Explainable GeoAI-based multi-temporal remote sensing framework for the early detection of climate-induced land cover transformation using multi-source satellite imagery …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 2, 2026 Read article
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The Evolution and Impact of Numbers: From Ancient Tallies to Quantum Computing: Review Article on Numbers
Abstract: Numbers are among the most fundamental constructs in human civilization, serving as the backbone of mathematics, science, technology, and virtually every aspect of daily life. They represent not only quantities and measures but also relationships, structures, and patterns that underpin the fabric of human understanding. From the earliest tallies etched on bones by prehistoric humans to the sophisticated numerical systems embedded in today’s artificial intelligence and quantum computing, the evolution …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 15–19 Read article
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Monitoring and Safety of Aircraft using Wireless Technology
Abstract: Traditional aircraft sensor networks, burdened by wire complexity and high-power demands, struggle with scalability and real-time data acquisition. This paper proposes Bluetooth Low Energy advertising as a transformative solution, leveraging its lightweight, energy-efficient, and secure nature within tree network architecture. Sensors broadcast data packets picked up by strategically placed gateways, enabling efficient data dissemination through multi-hop relaying. The approach boasts scalability due to minimal hardware and power requirements, leading to …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 2, 2023 · pp. 14–21 Read article
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A Comparative Study of Deep Learning Methods for Depression Detection in Social Media Data
Abstract: With the rise of social media platforms like Twitter, Reddit, and Facebook, individuals increasingly share personal information about their moods, behaviors, and mental states. This trend provides a unique opportunity to leverage large-scale textual data for understanding and monitoring mental health conditions, particularly depression, a prevalent and challenging mental health issue. Traditional depression assessments are often confined to clinical environments and lack the capacity for real-time monitoring. In contrast, social …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 55–65 Read article
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Section Cutting in Histopathology: An Update
Abstract: Histopathology is the microscopic examination of tissues to diagnose and study diseases, more significantly the diagnosis of cancer. It plays a pivotal role in modern medicine, serving as the gold standard for definitive diagnosis in a wide range of conditions. Through meticulous analysis of tissue morphology (structure) and cellular characteristics, histopathology provides crucial information for disease classification, staging, and guiding patient management. In the world of histopathology, where microscopic details …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 1, 2024 · pp. 29–34 Read article
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IoT Meets Cloud: A Smart Integration
Abstract: Digital transformation and industry change are fueled by a combination of cloud computing and the Internet of Things (IoT). While cloud computing gives scalable resources for processing, storage, and advanced analytics, IoT allows devices to gather, distribute, and analyze data in real time. This connection supports big data and machine learning-driven applications and enhances data management and operational efficiency across industries, such as smart cities, industrial automation, healthcare, and agriculture. …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 26–34 Read article
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Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities
Abstract: Updating and restructuring outdated systems is essential for organizations seeking to harness the scalability, adaptability, and robustness offered by cloud-native architectures. Legacy systems can obstruct innovation because of their rigid structure, expensive maintenance, and inability to scale effectively. Amazon Web Services (AWS) provides a comprehensive suite of advanced services that enable the efficient transformation of such systems into modern, cloud-native solutions. This paper explores strategies and best practices for utilizing …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 44–65 Read article
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Oceanmind Systems: AI-Driven Marine Life Intelligence for Climate Prediction and Ocean Ecosystem Stability
Abstract: Oceans regulate global climate systems, support biodiversity, and serve as critical carbon sinks, yet they remain under-monitored relative to their ecological importance. Traditional oceanographic methods rely heavily on satellite sensing, buoy networks, and periodic marine surveys, which often fail to capture real-time biological dynamics at micro-ecosystem levels. This paper introduces OceanMind Systems, an artificial intelligence (AI)-driven marine intelligence framework that integrates marine life behavior, oceanographic data, and computational modeling to …
Published in International Journal of Marine Life · Vol. 3, Issue 2, 2026 Read article