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1978 articles for “CLA” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Dimensionality Reduction Techniques and their Applications in Cancer Classification: A Comprehensive Review
Abstract: Dimensionality reduction techniques have become a vital tool in the investigation of high-dimensional data like gene expression profiles in cancer research. Here is a review, we deliver a comprehensive overview of dimensionality reduction techniques and their applications in cancer classification. Firstly, we introduce the concepts and approaches of dimensionality reduction, and after that, we explore several methods for decreasing dimensionality. These techniques include Linear Discriminant Analysis (LDA), Principal Component Analysis …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 1, Issue 2, 2023 · pp. 35–45 Read article
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Cloud-driven Fraud Detection: Evaluating Decision Tree and Random Forest Classifiers for Credit Card Transaction Security
Abstract: With the alarming rise in global financial fraud, necessitating substantial annual losses, modern techniques for fraud detection are continuously evolving across various business domains. Fraud detection involves constant monitoring of user activities to estimate, perceive, or prevent undesirable behaviour. Cloud Computing emerges as a promising solution, accelerating application deployment, fostering creativity and innovation, reducing costs, and enhancing overall business acumen. This study introduces a cloud-driven approach to fraud detection, specifically …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 1, 2024 · pp. 13–27 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning
Abstract: Primary brain tumor detection and classification are critical factors in ensuring effective treatment and, ultimately, improving patient well-being. This paper describes a novel method for detecting and classifying brain tumors with the help of magnetic resonance imaging (MRI) and computed tomography (CT) images. The suggested method combines harmony search optimization (HSO) and Convolution Neural Networks (CNN) based on deep learning techniques, yielding an impressive accuracy rate of 99.13% for both …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 31–49 Read article
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Physiological and Psychological Effects of Ekadashi Upavasa (Fasting Ritual) on Women: A Prospective cohort study on Metabolism, Immunity, and Mental Clarity
Abstract: Background: Ekadashi Upavasa, a traditional bi-monthly fasting ritual, is believed to offer physical, mental, and spiritual benefits. However, its scientific impact on metabolism, immunity, and mental clarity remains underexplored. This prospective cohort study evaluates these effects among women practicing the ritual at Krishna Temple, Amloh, over six months. Methods: A total of 800 women aged 25–50 years were recruited from Krishna Temple, Amloh, for this study, conducted from June 2024 …
Published in Research and Reviews : A Journal of Immunology · Vol. 15, Issue 2, 2025 · pp. 67–70 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Integration of Multispectral Satellite data with Ensemble Machine Learning Models for Wetland Classification: a new Ramsar Site in Central India
Abstract: For biodiversity conservation, several wetlands in India have been classified as Ramsar sites, and Sirpur Lake is a recent addition to the list. The objective of this paper is to use Sentinel optical data with 10-meter resolution to prepare a robust and accurate classified map which will be crucial for further analysis. The data on thirteen spectral bands along with four essential spectral indices, Normalized Difference Vegetation Index (NDVI), Normalized …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 Read article
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Skin Disease prediction and classification from dermoscopy images using Neural Network
Abstract: Skin diseases are among the most common health-related problems affecting people of all age groups, and their occurrence often varies with seasonal and environmental conditions. Delayed or incorrect diagnosis of skin disorders can lead to severe complications, making early and accurate detection extremely important for effective treatment and prevention. In recent years, rapid advancements in deep learning and neural network technologies have significantly contributed to the development of automated medical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Polymer-Coated Composite Granules of Clarithromycin: Design, Characterization, and Functional Evaluation for Taste Masking and Antibacterial Performance
Abstract: Background: Masking the unpleasant taste of clarithromycin is essential to improve patient adherence, especially among pediatric and elderly groups. However, enhancing palatability while maintaining its antibacterial effectiveness remains a significant formulation challenge. This study focused on developing polymer-coated clarithromycin granules (B1–B10) using novel non-sugar-based polymers and assessing their antibacterial activity against Staphylococcus aureus Methods: Clarithromycin granules were produced using a fluidized bed coating technique with non-saccharide polymers, specifically Eudragit E-100 …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1042–1050 Read article
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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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Monitoring of Disable Patients with their Medical conditions using K-NN Classifier Algorithm
Abstract: In this paper a general procedure for the infirmity assessment of patients with ineptitudes is presented. It relies upon consistently activity examination using ordinary accelerometer sensors conveyed by the noticed person while at home without clinical staff present. The k-NN classifier is being used to study six different types of activities after preliminary data pre-planning, followed by further decreases in estimation and confirmation time. Promising results are gotten which could …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 1–7 Read article
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Isotherm and Kinetic Studies of Methylene Blue Dye Adsorption Using Sulfuric Acid Activated Nigerian Montmorillonite Clay
Abstract: The Presence of methylene blue and other basic dyes in water causes various harmful effects for both human and aquatic species. In this study, montmorillonite clay in its raw and acid (0.5M H2SO4) activated states were investigated for the sorption of methylene blue dye. The structural changes due to acid treatment were analyzed by X-ray diffraction (XRD) and scanning electron microscope (SEM). The studied parameters that affect adsorption efficiency were …
Published in Journal of Catalyst & Catalysis · Vol. 7, Issue 2, 2020 · pp. 37–47 Read article
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Automatic Classroom Lighting Controller and Energy Saving Based on Microcontroller Unit
Abstract: The rise in energy costs urged the need in minimizing the energy consumption. As significant amount of energy is used for illuminating in educational buildings such as lecture halls and lecture rooms, improvement is needed to avoid energy wastage for unoccupied and during daylight hours. The lighting will be controlled based on demand to save the energy costs. This paper introduces the common existing problem that lights work in classrooms …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 2, 2016 · pp. 1–4 Read article
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Two-Phase Flow Modelling in Clay Rich Shale
Abstract: Computational fluid dynamics (CFD) have made huge strides lately and are bit by bit turning into a pervasive device in science and engineering. In this paper, we present a new mathematical model, which adequately describes single- and two-phase flow, which considers relative permeability and capillary pressure in water rich clay shale. Furthermore, we implement the two-phase flow model into COMSOL multiphysics software. From the result analysis, it is concluded that …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 3, 2016 · pp. 44–53 Read article
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Mud Acid Effect on Fines Migration Problem Using a Newly Developed Al/Zr-Based Clay Stabilizer (A): Mitigation Can Happen
Abstract: Sandstone reservoirs exhibit severe fines migration problems subsequent to conventional mud acid (HCl: HF) treatments. The acid treatment proved to be effective for a relatively short period of time, with a sudden production decline owing to either that mud acid spent rapidly in close proximity to the wellbore, causing clays to migrate into the acidized area and re-plug the formation; or that the mud acid system actually weakens the structure …
Published in Journal of Petroleum Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 11–29 Read article
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A Novel Development for Vapor Phase Alkylation of Aniline Processed with Clay, Oxides and Zeolite
Abstract: Vapour phase catalytic alkylation of aniline with ethanol is carried out over new catalysts including clay (attapulgite, and bentonite), metal oxides (Fe2O3 impregnated on attapulgite, and Fe2O3 + GeO2 supported on attapulgite) and zeolites (ZSM–5) in a down flow reactor. The reaction conditions viz temperature, molar ratio (aniline/ethanol) and catalyst lead to both C– and N–alkylation, with highest conversion of aniline to ethanol at 370°C temperature and 1:6 molar ratio …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 9, Issue 3, 2022 · pp. 1–8 Read article
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Classification of Pattern using Spline Function and Statistical Data Mining: Review Paper
Abstract: ABSTRACTMany people are affected by lung diseases. Respiratory diseases are curable in early detection. Spirometry is valuable for diagnosing specific lung disorders as well as detecting lung disease at an early stage. Spirometry is most widely used pulmonary function test that is essential to measure the volume of air exhaled from the fully inflated lung as a function of time. The output of spirometry is inthe form of graphs i.e., …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 37–42 Read article
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Feature Selection and Weighted Based Optimized Weight based Multi-Tier Stacked Ensemble (WMTSE) Classification for Twitter Sentiment Analysis
Abstract: AbstractThis research work concentrates on both feature selection and classification methods for utilizing twitter data. A new classifier is introduced for classifying “tweets” into positive, negative and neutral sentiment. The system contains four steps: Preprocessing by Tokenization, Text Cleaning, Part of Speech (PoS) Tagging, Stemming and Stop Words Removal, Feature Extraction by Bag-of-words (BoW), Lexicon-based features and Term Frequency- Inverse Document Frequency(TF-IDF), Feature Selection by Binary Swallow Swarm Optimization (BSSO) …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 20–23 Read article
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Class III Malocclusion and its Management: An Overview
Abstract: Angle’s Class III malocclusion is one of the most complex malocclusions, which have several etiological factors. The etiology may be present at different levels of development like dental, skeletal and combination of both. The treatment modality depends upon the age and the severity of the malocclusion. In this article, we summarize the etiology, types, prevalence, characteristic features, diagnosis, different treatment methods for the Angle’s Class III malocclusion. Keywords: Class III …
Published in Research and Reviews: A Journal of Dentistry · Vol. 7, Issue 2, 2016 · pp. 24–33 Read article
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Clinical Classification of Knee OA Severity Using WOMAC and its Association with Fear of Falling and Functional Capacity
Abstract: Aim: To determine whether clinically classifying knee osteoarthritis (OA) using the Western Ontario and McMaster Universities Arthritis Index (WOMAC) is as effective as radiological classification. Methodology: A total of 36 subjects with diagnosed knee OA who visited the physiotherapy OPD of ESI Hospital, Basaidarapur, New Delhi, India, were included in the present study. Procedure: Subjects were screened for cognitive ability using Mini-Mental State Exam (MMSE), fear of falling using Modified …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 8, Issue 3, 2019 · pp. 32–38 Read article