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1045 articles for “U-net”
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Intelligent Brain Tumor Diagnosis with AI-Based Classification* * Harnessing Deep and Machine Learning for Tumor Identification
Abstract: Brain tumors have become a leading cause of cancer- related deaths, posing significant health risks to many patients. This urgent medical challenge calls for rapid, automated, and reliable techniques to detect brain tumors accurately. Timely and precise tumor identification is crucial for devising effective medical plans that have the potential to save lives and improve patient outcomes. By leveraging advanced image processing methods, healthcare professionals can enhance their diagnostic capabilities …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 1, 2026 Read article
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Breakthroughs in Solar and Wind Energy Technologies
Abstract: The increasing urgency to combat climate change and transition toward sustainable energy systems has positioned solar and wind energy as cornerstone technologies in the global energy landscape. This paper, titled “Breakthroughs in Solar and Wind Energy Technologies,” explores recent innovations and trends that have significantly enhanced the efficiency, reliability, and affordability of these renewable energy sources. Key advancements discussed include breakthroughs in photovoltaic technologies, such as perovskite solar cells and …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
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A Comprehensive Survey on IoT-Enabled and Hand Gesture Controlled Robotic Arm Using Blynk IoT and OpenCV
Abstract: This venture presents an IoT-enabled and hand gesture-managed robot arm that operates in three distinct modes: automated control, IoT-based control via the Blynk app, and gesture-based control using OpenCV. The gadget integrates a NodeMCU microcontroller for wireless verbal exchange and management, with MQTT protocol enabling real-time messaging among the devices. In automated mode, the robotic arm plays predefined tasks autonomously. In IoT mode, users can remotely manage the arm using …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 35–40 Read article
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IoT Innovations: Sensors Integration and Communication for Smart Environments Journal
Abstract: In today’s rapidly advancing technological landscape, companies are racing to embrace the transformative concept of the Internet of Things (IoT), merging physical objects with the vast realm of the internet. This integration, facilitated by smart hardware and software, promises a seamless network where objects communicate and actively engage in our daily lives. However, the journey to this interconnected future is not without hurdles. Addressing the myriad challenges from diverse perspectives …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 1–6 Read article
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Multimodal Disease Detection Using Deep Learning
Abstract: Artificial Intelligence (AI) is playing an increasingly pivotal role in modern healthcare, particularly in improving the speed and accuracy of disease detection. With the evolution of Machine Learning (ML), Deep Learning (DL), and high-performance computing, AI-based solutions are now capable of processing extensive medical datasets, ranging from patient records to diagnostic images, with remarkable efficiency. These systems offer immense potential for early intervention, improved clinical decision-making, and alleviating pressure on …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 129–139 Read article
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Determination of Free Chlorine Water Content in Jalandhar City Using Colorimeter
Abstract: Water is the ultimate source of life on this universe. Water is vital for the survival of humans, animals, and plants, and the issue of freshwater is becoming increasingly critical in society. With the human body composed of 64% water, contaminated water, inadequate waste disposal, and poor water management contribute to severe public health issues such as cholera, typhoid, and malaria annually. Globally, the quality and quantity of water are …
Published in Journal of Water Pollution & Purification Research · Vol. 11, Issue 1, 2024 · pp. 1–5 Read article
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A Novel Mathematical Exploration of Fractal Dynamics in Hyperbolic Spaces
Abstract: This research paper presents an original study on the behavior, generation, and properties of fractal structures within hyperbolic geometry. Unlike classical Euclidean fractals, hyperbolic fractals demonstrate accelerated boundary complexity and distinct scaling symmetries due to the curvature of the underlying space. The paper proposes new iterative models, analyzes geometric invariants, and explores potential applications in data visualization, network science, and theoretical physics. This research paper conducts an in-depth investigation into …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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An Efficient LoRa-Enabled Fault Detection Using Self-Powered IoT Device
Abstract: This study describes a revolutionary internet of things (IoT) solution for effective defect detection in a variety of applications. By utilizing an IoT device that generates energy from the surroundings, the suggested solution gets around the drawbacks of conventional battery-operated gadgets. The suggested approach makes use of a self-sustaining IoT gadget that can capture energy from the surroundings to get beyond the drawbacks of conventional battery-powered IoT devices. Longer functioning …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–13 Read article
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Answer Checking System Using Artificial Intelligence and Machine Learning: A Review
Abstract: Automatic answer checker software that evaluates and scores written responses in a manner comparable to that of a human. This software programme is designed to evaluate subjective responses provided in an online test and to award points to the user after the answer has been validated. For the sake of the system, you must save the initial response. The administrator is given access to this resource. The system's admin can …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Comprehensive Strategies for Advancing Sustainable Rural Development
Abstract: Sustainable rural development is a comprehensive strategy aimed at enhancing the quality of life and economic prosperity of rural populations while ensuring long-term progress without depleting natural resources. This approach integrates social, economic, and environmental aspects, focusing on community empowerment, cultural heritage preservation, and sustainable resource management. Key elements include economic diversification to broaden income sources through agriculture, small-scale industries, tourism, and other sectors, thereby reducing reliance on a single …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 2, 2024 · pp. 16–21 Read article
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Advancements in Fibre Optic Communication: Revolutionizing High-Speed Digital Connectivity
Abstract: Fibre-optic communication is a form of optical communication for transmitting information from one place to another by sending pulses of infrared or visible light through an optical fibre. By allowing high-speed, high-capacity data transfer over great distances with minimum signal loss, fibre optical communication has transformed the sector of telecommunications. The basic ideas of fibre optics, including light propagation through optical fibres, important components like transmitters, receivers, and optical amplifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 1–6 Read article
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Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article
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Statistical Modeling for Weld Quality Assessment using AI SAW Welding of Mild Steel
Abstract: The main issue to the industries that apply Submerged Arc Welding (SAW) is quality assurance since the structural integrity dictates safety and the performance of the industry. The existing system of checking manuals is not only time consuming but also has human errors that make it mandatory to deploy automated intelligent systems. This study carries out an extensive comparison of the leading approaches based on the use of Artificial Intelligence …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 892–907 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 and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Efficient Message Captivating Environment in IoT Home Networks
Abstract: The Internet of Things (IoT) concept involves connecting and monitoring physical objects via the internet, generating significant interest among researchers and users due to widespread internet availability. This concept encompasses a broad spectrum of devices, including internet-connected "smart" versions of traditional appliances, novel gadgets designed for an Internet-enabled environment, and Internet-enabled sensors transforming various sectors such as manufacturing, healthcare, transportation, and living spaces. Home automation, an IoT application, has significantly …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 8–16 Read article
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Divorced Women Attitudes Towards Remarriage: A Qualitative Approach
Abstract: The current study aimed to investigate the attitudes of divorced women regarding remarriage and to comprehend the diverse factors that shape their viewpoints. The research population comprised divorced women, and a purposive sampling method was employed to select participants. Data were collected from ten divorced women through semi-structured interviews, allowing for in-depth exploration of personal experiences and viewpoints. A qualitative research design was adopted to capture the complexity of individual …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 1–14 Read article