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1949 articles for “class” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Barg-e-Tulsi (Ocimum sanctum Linn.) in Unani Medicine: Bridging Classical Therapeutics with Contemporary Pharmacological Evidence
Abstract: In the Unani System of Medicine (USM), Barg-e-Tulsi (Ocimum sanctum Linn.), commonly known as Tulsi or Holy Basil, is a highly valued medicinal herb that has been extensively used for centuries in the prevention and treatment of various ailments. It occupies an important place in traditional Unani therapeutics due to its broad spectrum of medicinal properties and its effectiveness in managing respiratory, gastrointestinal, neurological, and infectious disorders. Classical Unani scholars …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2026 · pp. 20–29 Read article
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Machine Learning Classification of Normal Versus Age-Related Macular Degeneration OCT Images
Abstract: The macula is a small area of the retina which is especially very important for good eyesight. The age related macular degeneration (AMD) is a type of visual impairment that can cause central vision blur or even loss of visionblindness or even loss of eyesight. AMD was a dangerous and progressing chronic disease which affects people over the age of 60. One of the most common symptoms of this condition …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 3, 2022 · pp. 1–8 Read article
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Remote Sensing Classification Based on Improve Ant-Miner Algorithm: A Case Study of Alwar, Rajasthan, India
Abstract: Earth Observation Satellite (EOS) image itself contains image ambiguity. Various conventional methods like minimum distance to mean or maximum likelihood image clustering algorithm do not meet the accuracy that have required by user in the virtue of cost-effective land use/land cover classification. In Ant colony optimization (ACO), association rule mining is a prevalent and well researched method for discovering useful relations between variables in large databases. The proposed work presents …
Published in Journal of Geotechnical Engineering · Vol. 2, Issue 3, 2015 · pp. 1–5 Read article
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Classification of Images Using Support Vector Machine (SVM) Approach
Abstract: The article explains how to classify images using machine learning techniques. The Support Vector Machine with strong flexibility and the capacity to operate with a vast collection of input data was employed to complete this challenge. A software created in the MATLAB simulation environment was used to explain the model. The main difficulty that image classification is gathering a large enough training set of photos to obtain a high probability …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 1, 2022 · pp. 6–10 Read article
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Comparative Between (LiNbO3) and (LiTaO3) in Detecting Acoustics Microwaves Using Classification
Abstract: AbstractOur work is mainly about detecting acoustics microwaves in the type of BAW (Bulk acoustic waves), where we compared between Lithium Niobate (LiNbO3) and Lithium Tantalate (LiTaO3), during the propagation of acoustic microwaves in a piezoelectric substrate. In this paper, we have used the classification by Probabilistic Neural Network (PNN) as a means of numerical analysis in which we classify all the values of the real part and the imaginary …
Published in Journal of Microwave Engineering and Technologies · Vol. 5, Issue 3, 2018 Read article
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Evaluation of Ensemble and Deep Learning Classifiers on CSE-CIC-IDS2018 Dataset for Intelligent NIDS
Abstract: Network Intrusion Detection System (NIDS) plays an active role in preventing cyberattacks by early detection of threats before it really starts affecting targeted information services. Over the years, many intrusion detection system (IDS) have been developed applying signature or rule-based approach to prevent unauthorised access of network or computer devices. However, ever growing landscape of cyberattacks in recent years has motivated present day researchers to design and develop more accurate …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 1–11 Read article
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An Overview of Classification of Signal and System
Abstract: AbstractSignals and systems are abstract concepts of a wide variety of physical variables and processes in various fields in engineering and sciences. This paper presents the basic idea of signal and system along with their classification. In the real world, any quantity reveals variation in time or variation in space or any other independent variable is potentially a signal. This paper includes a theoretical view with some supportive equation in …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 46–49 Read article
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Partial View-Based Object Recognition using Leave-one-out Approach with Classification and Regression Trees
Abstract: Object recognition from image is an intriguing task in computer vision. It is simple for human being but complex for machine because of complex background, lightening, different viewing angle, size etc. So, a typically automatic and robust system is required to recognize object. In this paper, a content-based object recognition system using only one view of the object: top view, front view, back view, side view, and also using combination …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 9–16 Read article
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Predictive Modeling System for Automated Skin Lesion Classification Using Deep Neural Networks and Voting Ensembles
Abstract: Skin cancer is one of the most prevalent cancers globally. Early and accurate diagnosis is critical for timely treatment and improved prognosis. This study presents a predictive modeling system for automated classification of skin lesions from dermoscopic images using deep neural networks and voting ensemble techniques. A customized 16-layer convolutional neural network architecture is developed for feature learning from lesion images. The concept of horizontal voting ensemble is implemented by …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 29–35 Read article
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Classical and Advance Literature of Muscle (‘Aḍala): A Review
Abstract: Background: According to Nafis, muscles are formed by viscous blood which becomes thick due to heat and dissolution of water present in blood dissolves due to heat. Hence consistency of blood becomes soft, loose and then it takes the shape of flesh. Rhazi and Majusi described that muscles are composed of flesh, nerve and tendon. Purpose: An attempt was made to find out the classical literature and existence of muscle …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 9, Issue 3, 2020 · pp. 8–12 Read article
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Awareness and Impact of Education on Breast Self Examination Among Housekeeping Staffs (Class IV Workers)
Abstract: Breast cancer accounts for 19–34% of all cancer cases among women in India. There is high mortality due to lack of awareness and nonexistent breast cancer screening programmes. Early detection and prompttreatment offer the greatest chance of long-term survival and BSE (Breast Self Examination) seems to be an important viable optional substitute for early detection of cancer. The aim of the study was to assess the existing knowledge and skills …
Published in Journal of Nursing Science & Practice · Vol. 1, Issue 1-2, 2011 · pp. 21–27 Read article
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A Conceptual Study of Prakriti w.s.r. to Its Classification
Abstract: Welcome to the world of Ayurveda. In the present era, everybody is looking towards Ayurveda for health care. Besides the medicine, we are having one special principle which other pathies are lacking that is, Swasthasya Swasthya Rakshanam. ‘Swasthya’ is a state when an individual is at a state of equilibrium of three doshas, normal functioning of the thirteen agnis (digestion and metabolism), the dhatus and malas and he/she is in …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 7, Issue 3, 2020 · pp. 26–32 Read article
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Music on Mind and Body: A Simultaneous EEG and EMG Study to Quantify Emotions from Hindustani Classical Music
Abstract: With the advent of various techniques to assess the bioelectric signals on the surface of the body, it has become possible to develop various human-computer interface systems. In this study, for the first-time a cross- correlation based data is reported for two-different types of bio-signals viz. EEG (Electroencephalography) and EMG (Electromyography). Whereas EEG refers to the neuro-electric impulses generated in the brain recorded in the form of electric potentials, EMG …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 2, 2019 · pp. 27–38 Read article
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A Review of Various Deep Learning Models for Classification of BrainTumor
Abstract: Brain Tumor is most challenging and life threading decease now these days. Timely accurately detection of brain tumor is play important role for patient health improvement and it increase life survival rate. Traditional of brain tumor detection relay heavily on manual interpretation of medicalimage, it is very time consuming and chance to human error in detection of brain tumor. Now in recent advancement of Artificial intelligence (AI), Machine learning (ML) …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Combining the Classification of Sentiments from Opinions
Abstract: Our day-to-day life has been influenced by varied perceptions of people. Their ideas and opinions have affected our own opinions. People give their own views on the particular product or services according to their usage application. Updating of data is necessary with every passing day which results into difficulty of examining and understanding these large amounts of data. So, it becomes difficult to examine all the varied opinions and come …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 26–29 Read article
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Crack Detection and Classification Methods in Different Eras
Abstract: AbstractDetection of cracks is an essential parameter in structure life and will provide preventing structural failure. Sometimes, in large structure it is become difficult to find cracks by a visual check. The roof is one of the building elements which is subjected to maximum temperature differences like cold weathering, hot weathering etc. Therefore, roof is subjected to expansion and contraction during day and night or from season to season and …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 26–29 Read article
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Tropical Change LULC Forestry Data Assessment to Classify Accuracy and Kappa Statistics
Abstract: Forests can be categorized as tropical evergreen, feedstock forests, and so forth. In other classes, the goal of this mission is to compute regions of various woodland kinds in India using photograph processing techniques. This information is very beneficial for organizations such as woodland and environmental protection departments to recognize if the wooded area areas are growing or no longer and therefore take the necessary steps. In order to calculate …
Published in Journal of Open Source Developments · Vol. 7, Issue 1, 2020 · pp. 19–23 Read article
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A Statistical Approach Noise Tolerant Texture Classification
Abstract: A simple, efficient, yet robust multi resolution approach to texture classification binary rotation invariant and noise tolerant. The proposed approach is very fast to build and very compact while remaining robust to illumination variations, rotation changes, and noise. We have developed a novel and simple strategy to compute a local binary descriptor based on the conventional local binary pattern (LBP) approach, preserving the advantageous characteristics of uniform LBP. Points are …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 3, Issue 2, 2016 · pp. 14–19 Read article
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On the Pendant Number of Some New Graph Classes
Abstract: AbstractA decomposition of a graph is a collection of its edge disjoint sub-graphs such that their union is . If all the sub-graphs in the decomposition are paths, then it is a path decomposition. In this paper, we discuss the pendant number, the minimum number of end vertices of paths in a path decomposition of a graph. We also determine this parameter for some graph classes.Keywords: Decomposition, path decomposition, pendant …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 1, 2019 · pp. 15–21 Read article
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Injective Coloring Parameters of Some Special Classes of Graphs
Abstract: AbstractThe vertex coloring of a graph can be viewed as a random experiment and with respect to this experiment, a random variable can be defined such that denotes the color of an arbitrarily chosen vertex. In this paper, we broaden the ideas of coloring mean and variance of graphs with respect to a particular type of proper injective coloring and determine these parameters for some standard graph classes.MSC2010: 05C15, 05C38. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 2, 2019 · pp. 30–41 Read article