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317 articles for “C-Class Function”
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Multi-spectral Data Simulation Method Based on Hyperspectral Data
Abstract: Deep learning algorithms have been widely used in remote sensing image classification and recognition. Due to the difference in parameters such as spectral response functions of different sensors, a single sensor sample dataset cannot meet the needs of other sensors. Constructing sample datasets for different sensors will seriously increase the workload. To solve this problem, this paper proposes a multi-spectral data simulation method based on hyper spectral data and analyzes …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 2, 2019 · pp. 43–51 Read article
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Face Detection and Classification for Attendance Systems on Android
Abstract: This work offers a facial recognition-based attendance system with the goal of addressing the drawbacks of traditional manual attendance. The manual attendance procedure can be made more efficient by using facial recognition technologies and mobile platforms. This design is divided into three function modules: attendance sign-in, attendance record, and face recognition system of check on work attendance information input. It also introduces a face detection and classification principle, analyses the …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 15–22 Read article
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Everyday Life Under British Rule in India
Abstract: This research examines the transformation of everyday life under British rule in India between 1858 and 1947 focusing on the subtle yet profound ways colonial governance reshaped daily routines, social practices, and cultural identities. While much historiography has concentrated on political movements, economic policies, and administrative reforms, this study shifts attention to the lived experiences of ordinary people. It analyzes how colonial power operated not only through legislation and military …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article
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Characterization and Variation of Plasmodium falciparum based on small subunit ribosomal RNA gene obtained from HIV sero-positive Patients
Abstract: The development of resistance to ACTS has been shown by several studies to precipitate from multiple strains of P. falciparum. Development drug sensitive P. falciparum has hindered the increase of and transmission of drug resistant P. falciparum. Despite the contribution of about 90% global malaria deaths by high transmission zones like Sub-Saharan Africa, emergence of resistance to anti-malaria drugs has been shown to emanate from low transmission zones like South …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 9, Issue 1, 2022 · pp. 33–42 Read article
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Machine Learning Approaches for Phishing Detection: A Comparative Study
Abstract: These days, everyone has an internet addiction. All of us have used the internet for banking, booking, recharging, and buying. Phishing is a type of website threat that exists online. On the original website, phishing is an attempt to illegally obtain information such as login ID, password and credit card information. In this research, we proposed an efficient phishing detection system based on machine learning. Overall, the experimental findings demonstrated …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 35–45 Read article
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Extra Philadelphia in CML Due to Isodicentric 22: A Case Report
Abstract: Introduction: Chronic Myelogenous Leukemia is a malignancy that affects the hematopoietic stems cells (HSC) of the bone marrow, leading to the rapid and continual proliferation of granulocytes and precursor blast cells. This is caused due to a reciprocal translocation that occurs between chromosomes 9 and 22, leading to the formation of derivative 22 also called as Philadelphia (Ph) chromosome. The Ph chromosome then encodes a fusion oncoprotein that functions as …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 18–22 Read article
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Pattern Recognition Using Hybrid Meta-Heuristic
Abstract: Abstract—In this paper, two optimization algorithms i.e., Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA) are combined to produce a hybrid population-based algorithm PSOGSA. The approach of HPSOGSA is to use the assessment of PSO using the social thinking capability and the manipulation of GSA using the local search proficiency. To increase the performance of HPSOGSA, some benchmark functions are used. Two standard database ORL and YALE is used …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 100–108 Read article
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Ilaj bil-Ma’ (Hydrotherapy) as a Regimenal Modality in Pain Management: Conceptual Foundations in Unani Medicine and Modern Correlation
Abstract: Waja‘ (pain) is one of the most common clinical complaints encountered worldwide and remains a leading cause of disability, impaired functional capacity, and diminished quality of life. In the Unani system of medicine, pain is not considered merely a symptom but a significant manifestation of disturbed physiological balance. Classical Unani scholars describe pain as arising from derangement in Mizāj (temperament), imbalance of Akhlāṭ (humours), Sudad (obstruction within bodily channels), Waram …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2026 · pp. 12–19 Read article
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Hand-Tracking-Based Mouse Control for Touchless Human-Computer Interaction: Feasibility and Future Enhancement
Abstract: This paper presents a novel approach to human-computer interaction through a hand-tracking-based mouse control system using computer vision. The system utilizes OpenCV, MediaPipe, and the Cvzone Hand Tracking Module to identify and monitor hand movements in real-time. By utilizing hand landmarks, the system maps finger positions to cursor movement and enables essential functions such as clicking, scrolling, and double-clicking. The primary motivation for developing this system is to create a …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 18–25 Read article
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Automated Thyroid Nodule Detection in Ultrasound Image using Optimal Neural Network Classifier
Abstract: Malignant thyroid nodule detection is an important issue in thyroid ultrasonography image processing. Literature reports many algorithms in this domain. This research aims to design optimal decision support system (DSS) for ultrasound thyroid nodule image characterization into benign and malignant classes. Thyroid nodule region is segmented to extract texture features from thyroid nodule ultrasound images acquired from 38 patients using gray level co-occurrence matrix (GLCM) and statistical properties. These features …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 15–25 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Phase – Field Modeling of Brittle and Ductile Fracture Under Complex Loading Conditions
Abstract: Phase-field modeling has emerged as a powerful computational framework for predicting fracture behavior in engineering materials, offering a unified description of crack initiation, propagation, branching, and coalescence without the need for explicit crack tracking. This study presents an in-depth examination of phase-field modeling applied to both brittle and ductile fracture under complex loading conditions, including multiaxial stress states, cyclic loading, thermal gradients, and dynamic impact. The phase-field approach regularizes the …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 2, 2025 · pp. 13–18 Read article
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Composition of Ideal Fluid Flows Around Cylinder Using Bilinear Transformation
Abstract: Advent of conformal mapping eases to model a flow in sought-after domain without trade- off between laws of fluid mechanics and the theory of complex valued-functions. The far-reaching properties manifested by conformal mapping discern and facilitate solution of large class of two-dimensional flow problems. Bilinear transformation is amidst the conformal mappings. The properties, mapping a circular boundary onto horizontal line and composition of bilinear transformations is again a bilinear transformation …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 1, 2023 · pp. 31–38 Read article
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Fuzzy C-Means
Abstract: AbstractFuzzy c-means (FCM) incorporates spatial information into the membership function for clustering and uses it for obtaining the enhanced image. The main aim of the project is to develop a user friendly graphical user interface, manipulate and retrieve the data and run models for routing application in terrain trafficability. In the classification process, first clustering is done which involves grouping similar pixels (or forming clusters) in the test image based …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 10–16 Read article
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Carbon-based Quantum Dots: Synthesis, Properties, and Biomedical Applications
Abstract: *Author for CorrespondenceKarishma DubeyE-mail: karishmadubey6@gmail.com Student, Department of Biotechnology, Mahatma Gandhi Kashi Vidyapith University, Varanasi, Uttar Pradesh, India Received Date: September 10, 2022Accepted Date: September 22, 2022Published Date: September 30, 2022 Citation: Karishma Dubey. Carbon-based Quantum Dots: Synthesis, Properties, and Biomedical Applications. Research & Reviews: Journal of Physics. 2022; 11(2): 6–8p.Due to their superior and distinctive characteristics, carbon-based quantum dots (CQDs), a newly discovered class of carbon nanomaterials, have caught …
Published in Research & Reviews : Journal of Physics · Vol. 11, Issue 2, 2022 · pp. 6–8 Read article
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Cosmeceuticals: Integrating Therapeutic Functionality into Cosmetic Science
Abstract: Cosmeceuticals are a quickly growing group of skincare products that are in between cosmetics and drugs. These products have biologically active components that are said to provide medical or drug-like advantages for a number of skin problems, including ageing, hyperpigmentation, acne, and damage from the sun. Cosmetics are not medications, but cosmeceuticals are made to affect skin function at the cellular level. This article talks about what cosmeceuticals are, how …
Published in Recent Trends in Cosmetics · Vol. 2, Issue 2, 2025 · pp. 19–35 Read article
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Self-Healing Polymer Nanocomposites: A Comprehensive Review of Design Strategies, Mechanisms, and Emerging Applications
Abstract: Self-healing polymer nanocomposites (SHPNs) are a new class of materials that can autonomously repair themselves to prolong their lifetime and improve their application performance. Herein, we provide a comprehensive overview of the design strategies, healing mechanisms, and emerging applications of SHPNs. Incorporating nanofillers (nanoparticles, nanofibers, and/or nanotubes) into polymer matrices leads to requisite functionalization that significantly enhances mechanical properties and is essential in self-healable products including improved cross-linking, high dispersion, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 281–293 Read article
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FRACTIONAL q-DERIVATIVE AND GENERALIZED K-FUNCTION
Abstract: AbstractThis investigation is basically intended to fractional q-derivative of special functions. In this article we drive the results on term by term q-fractional differentiation of a generalized k-Series. As particular case we will obtain the fractional q-differentiation of the power series and exponential series. To start with the theorem on term by term q-fractional differentiation has been derived. The result is an extension of an earlier result due to Yadav …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 1, 2019 · pp. 6–9 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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Nutritional, Preventive, and Therapeutic Potential of Ma-ul-Shae’er (Barley Water) in the Unani System of Medicine: A Holistic Viewpoint
Abstract: In the Unani methodology of managing diseases, Ilaj-bil-Ghiza (dietotherapy) serves as a foundational principle. The initial course of treatment for any ailment entails prescribing specific diets or regulating the quality and quantity of food intake. In recent times, there has been a heightened public awareness regarding the health advantages of functional foods and nutraceuticals for disease prevention and overall well-being. Unani medicine provides a methodical classification of food, taking into …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 1, 2024 · pp. 18–25 Read article