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67 articles for “Classification-based directives”
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A Study on Shortest Route Planning in Road Transportation Networks Using Remote Sensing Technology
Abstract: In the present scenario, information technology plays a major role in the world economics. If we get the timely information about the resources of the city then we could plan and manage its resources in a better way, for the economically and environmentally sustainable urban development. Land cover and the human or natural alteration of land cover play a major role in global scale patterns of climate. Rapid urbanization and …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 23–28 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Federated Learning for Privacy-Preserving AI Model Training Across Distributed Healthcare Systems
Abstract: Building effective AI diagnostic tools in clinical environments presents a fundamental contradiction — the patient data most critical to model performance is precisely the data subject to the strictest legal and institutional restrictions. Regulations such as HIPAA and GDPR, while essential for protecting patient rights, render conventional centralized training pipelines largely impractical in real hospital settings where data cannot be transferred, pooled, or shared across institutional boundaries. This paper presents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Recognition of Thyroid Nodules Using Hierarchical Temporal Awareness Networking Scanning
Abstract: Contrast-enhanced ultrasonography (CEUS), a preferred imaging technique for thyroid nodule diagnosis, is able to reveal the vascular distribution within a thyroid nodule right away. With the aim of mining pathologically-related enhancing dynamics and creating predictions in one step without taking into account a native diagnostic dependency, a number of learning-based algorithms have recently been created. In clinics, separating benign from malignant nodules is always done before identifying pathological types. In …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 31–35 Read article
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CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation
Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Font-Based Text Steganography for Covert Communication in Devanagari Script: A Review (2020–2026)
Abstract: Steganography hides the fact that a communication exists rather than merely safeguarding its content. Text is the most challenging of all steganographic media because it contains the least redundancy and is the most sensitive to changes. Devanagari script, with its conjunct consonants, ligatures, matras, and non-linear glyph construction, makes these difficulties even harder, rendering rendering-dependent and OCR- based steganographic methods largely ineffective. This paper presents a systematic review of text …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 22–33 Read article
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Concept of Hitahara with Special Reference to Sushruta Samhita
Abstract: Ayurveda is a traditional system of medicine that originated over three million years ago that offers extensive insight about food and health, based on certain unique conceptual as well as practical or therapeutic utility. According to Ayurveda, food is not only a complicated amalgam of all the fundamental components, carbohydrates, proteins, vitamins, and fats, but also something that provides energy for the body, soul, and mind. Ahara, Nidra and Bramhacharya …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 10, Issue 2, 2023 · pp. 22–27 Read article
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Recent Advances in Crystalline Materials
Abstract: Crystalline materials are solids in which atoms, ions, or molecules are arranged in a highly ordered, repeating three-dimensional lattice. This well-defined structure gives rise to unique physical, chemical, electrical, optical, thermal, and mechanical properties, making crystalline materials essential for numerous scientific and industrial applications. Advances in materials science, crystal engineering, and nanotechnology have enabled precise control over crystal size, morphology, composition, and defect structures through innovative synthesis techniques. These developments …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 · pp. 14–21 Read article
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Congenital Heart Disease (CHD) Detection Technique Based on Analysis and Classification of ECG Signal
Abstract: As per American Heart Association information, every year 125 babies out of 1000 are born with congenital heart disease (CHD). It was estimated that 36000 children are live born with CHD each year in the European Union. Child with CHD may have hole in heart up to 3–5 mm as small defects and for large defects it may go up to 5–8 mm. Depending upon the size of hole in …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 29–27 Read article
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Modern Catalytic Systems: Mechanisms, Materials Engineering, and Sustainable Applications
Abstract: Catalysis is a fundamental pillar of modern chemical science and industrial manufacturing, enabling efficient production of fuels, chemicals, pharmaceuticals, polymers, and environmentally important products through the acceleration of chemical reactions and reduction of activation energy barriers. This review provides a comprehensive overview of contemporary catalytic systems, with emphasis on the relationship between catalyst structure, reaction mechanisms, catalytic performance, and long-term stability. The discussion begins with the classification of homogeneous, heterogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 01–09 Read article
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A Review on Sybil Attack in Wireless Sensor Network Using Different
Abstract: Disseminated networks, not including trusted identities are predominantly susceptible to sybil attacks, where an opponent generates numerous bogus identities to the operation of weakened network. Here, we reward sybil defender, a sybil security scheme that impacts the network topologies to look after towards sybil attack in social communities. Taking into account performing a restricted amount of random walks within the social graphs, sybil defender is proficient and versatile to huge …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 3, Issue 2, 2016 · pp. 11–16 Read article
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ENHANCING CONTROL WITH EMBEDDED SSVEP-BCI
Abstract: Brain–Computer Interface (BCI) technology establishes a direct communication link between the human brain and external devices without relying on muscular activity. Among various BCI paradigms, the Steady-State Visually Evoked Potential (SSVEP)-based approach has gained significant attention due to its high signal-to-noise ratio, minimal user training, and suitability for real-time applications. However, implementing such systems on embedded hardware presents challenges such as limited computational resources, signal noise, and latency in processing. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 41–52 Read article
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Landslide Susceptibility Mapping: A Case Study of Cauvery Basin and East Flowing Rivers South of Cauvery Basin, India
Abstract: Landslide is a geological phenomenon which is directly and indirectly creates effects on life.It causes human property damages, roads breaking, building collapsing, other constructiondevastation and also huge loss of life. To manage such kind of hazard there is a need toidentify landslide prone zones. This paper addressed a GIS based spatial data analysis forlandslide susceptibility mapping in Cauvery and East Flowing Rivers South of Cauvery Basin,India. Seven important causative factors …
Published in Journal of Remote Sensing & GIS · Vol. 6, Issue 1, 2015 · pp. 24–36 Read article
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Advanced Deep Learning Techniques for Sickle Cell Anaemia Detection
Abstract: Sickle Cell Anemia (SCA) is a prevalent genetic blood disorder characterized by the presence of abnormal hemoglobin, resulting in the distinctive sickle shape of red blood cells. Timely and accurate identification of Sickle Cell Anemia (SCA) is essential for effective management and treatment. This study presents a new method that utilizes Convolutional Neural Networks (CNNs), a deep learning model particularly effective for image analysis. The process involves using microscopic images …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 9–15 Read article
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Finding Risk Factors in Thyroid and Cardiovascular System Using Naive Bayesian (NB) Machine Learning Technique
Abstract: Thyroid malady could be a common condition. A TSH test is carried out to check for the capacities of your thyroid organ. Illnesses of thyroid can be caused by conditions which cause thyroid organ over or under function. The test can moreover assist you recognize thyroid conditions some time recently indications happen. It is either as well (hyperthyroidism) or under-active (hypothyroidism), you might know. In case untreated, thyroid clutter may …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 1, 2020 · pp. 1–5 Read article
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Crystalline Materials: From Crystal Growth and Defect Engineering to Advanced Functional Applications
Abstract: Crystalline materials form the foundation of numerous modern technologies owing to their highly ordered atomic structures and exceptional physical, chemical, electrical, optical, and mechanical properties. Their periodic crystal lattices provide superior structural stability and enable precise control of electronic, thermal, and optical behavior, making them indispensable in microelectronics, photonics, energy storage, catalysis, aerospace, environmental remediation, and biomedical engineering. Rapid advances in crystal growth techniques, nanotechnology, and computational materials science have …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 2, 2026 · pp. 23–31 Read article
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Interference Effect between Prismatic Buildings Subjected to Microburst Wind
Abstract: Severe thunderstorms are important weather phenomena which impact on various facets of national activity like civil and defense operation, particularly aviation, space vehicle launching and agriculture in addition to its damage potential to life and properties. One of the most important events in the thunderstorms is the “Downburst”. Downbursts occur when a column of descending air reaches the ground and bursts out violently. This downward motion abruptly changes direction and …
Published in Journal of Industrial Safety Engineering · Vol. 1, Issue 1, 2014 · pp. 23–31 Read article
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Al-Razi’s Anatomical Insights: A Detailed Review of Kitab Al-Mansuri
Abstract: Al-Razi (865–925 CE), a leading physician of the Greco-Arab Golden Age, made foundational contributions to human anatomy through clinical observation and empirical analysis. This review explores Al-Razi's anatomical insights, particularly as recorded in his influential medical compendium Kitab al-Mansuri (The Book of Medicine Dedicated to al-Mansur). In this work, Al-Razi challenges the prevailing Galenic doctrines by prioritizing evidence-based understanding over uncritical acceptance of ancient texts. His method reflects a scientific …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2025 · pp. 1–7 Read article