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1949 articles for “bunking of class/masscuts” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Elevare – AI Career Suggestion Portal- Helping Students by Binding the Solutions at One Place
Abstract: The selection of suitable career has become very difficult and it's complexity is being increased day by day, due to advancement in technology and number of professional fields. conventional approaches of suitable of occupation focus on aptitude tests that in fact do not consider the variability in skills. This paper introduces a new AI-powered career suggestion portal called Elevare, which attempted to help students choose a career occupation based on …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 Read article
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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EFFECT OF BEHAVIOUR CONTROL STRATEGIES ON A DISRUPTIVE ELEMENTARY SCHOOL STUDENT: A CASE STUDY
Abstract: Disruptive behaviour in elementary schools can interfere with teaching, learning, classroom management, peer relationships and the overall school environment. Students who display persistent disruptive behaviours require carefully planned interventions that address behavioural needs while maintaining their dignity and opportunities for positive participation. The present case study examined the effectiveness of selected behaviour control strategies in reducing disruptive behaviour in a ten-year-old Grade V student who demonstrated persistent difficulties across multiple …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 Read article
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Comparative Study of Data Mining Tools
Abstract: Data mining is a process which finds useful patterns from large amount of data for an appropriate application. It is a well-built technology with great potential to help companies whose focus is on important information in huge databases. It uses machine learning, statistical and visualization technique to discover and predict knowledge in a form which is easily understandable to the user. Classification is important technique of data mining which employs …
Published in Journal of Advanced Database Management & Systems · Vol. 2, Issue 2, 2015 · pp. 35–41 Read article
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Predicting Client Behavior for Bank Marketing Using Multi-Layer Perceptron Model
Abstract: AbstractThese days machine learning is one of the most widely used approaches in every industry. And among many techniques of machine learning, classification is the most used one. In this paper, various classification models are used to draw some conclusion for many input variables and one output variable of banking data and classify the output variable into two classes. Various statistics are shown which are generated during classification. The work …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 5–8 Read article
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PSSM Amino-Acid Composition Based Gene Identification Using Support Vector Machines
Abstract: AbstractThe main characteristic of identifying the molecular mechanism of the cell is to understand the significance or function of each protein encoded in the genome. For that purpose, genome annotation proves to be very supportive. One of the most obligatory phases of genome annotation is the prediction of the genes. Several methods or techniques have been developed in order to locate or predict the patterns of genes in genome sequence. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 50–58 Read article
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Pattern Recognition of Finger Movements of Two Channel based Surface EMG Signals
Abstract: Surface EMG signal is widely used as a control signal for prosthetic device for the amputees or paralyzed able-bodied person with added advantage of being noninvasive and not painful. An ample amount of research on the prosthetic control of movements of forearm and hand is available in the literatures but few researches has been carried out for control of more dexterous individual and combined finger movements. The ability to precisely …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 7–14 Read article
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A Comprehensive Method for Sentiment Analysis on Twitter Posts
Abstract: AbstractIn recent years, with ascent of users of social media, researchers get drawn to sentiment analysis. The challenge is that sentiment-dependent info from multiple sources does not seem to be thought of usually in existing sentiment classification techniques. Sentiment analysis is incredibly vital as a result of it helps folks and organizations in their decision-making process. There is vast explosion of “sentiments” on the market from social media like Twitter, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 4, Issue 2, 2017 · pp. 1–5 Read article
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Prediction of Likelihood of Contraceptive Method among Women using Machine Learning Techniques
Abstract: This paper presents the various machine learning techniques and early fusion approach for analyzing usage of contraceptive methods among women. The analysis has been done using various nine features that the usage of contraceptive among women is whether low, high or not at all. This paper also evaluates the effect of contraceptive prediction is affected by men, age, and religion. Finally, comparison of classification accuracy has been employed between 22 …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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Identification of Handwritten Digits using Machine Learning
Abstract: Handwritten Digit Recognition is one of the practical issues in sample recognition applications. The task for handwritten recognition has been difficult due to various variations in written styles. The capacity to create an effective algorithm that can detect handwritten numbers given by users via a scanner, tablet, and other digital devices is at the core of the issue. Artificial intelligence is used in machine learning, which automatically corrects errors based …
Published in Journal of Operating Systems Development & Trends · Vol. 10, Issue 1, 2023 · pp. 19–26 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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A Review: Identification of Credit Card Fraud Using Machine Learning and Anomaly Detection Approach’s on Imbalanced Data
Abstract: Credit cards are among the most widely used payment methods in today's culture, and online purchases have become quite popular. Credit card fraud has emerged as a problem in this industry as a direct result of its popularity. The issue of credit card fraud is becoming a global problem. Credit card fraud has increased due to the widespread use of these payment methods. Thanks to credit card use, e-commerce has …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 27–40 Read article
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Anthropogenic Land Use Change Detection in a Kashmir Himalayan Watershed – A Remote Sensing and GIS Approach
Abstract: Watersheds are ubiquitous units that can be seen as the physical foundation of the nation. They have long been recognized as desirable units for planning and implementing developmental programs. Human impact on the watersheds is increasing day by day. The alteration of land use pattern in the Himalayan watersheds is increasing the vulnerability of these inherently fragile ecosystems. The present study is conducted in a Himalayan watershed of Lidder catchment …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 34–42 Read article
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Existence of Integron I and II Genes from Clinical Isolate Staphylococcus aureus and Their Role in Drug Resistance
Abstract: An integron is a gene capture and dissemination system. They have been identified on both genomic and mobile genetic elements which often contain one or more genes that encode antibiotic resistance. They are commonly associated with bacterial genera in the family of Enterobacteriaceae. Currently, there have been recent reports showing the presence of integrons in Staphylococcus species. The aim of the present study was to assess the existanxe of Class …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 4, Issue 3, 2014 · pp. 18–24 Read article
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Reading Habits - Is it on the Wane among Adolescents in Rural India?
Abstract: The reading habit influences in the promotion of one’s personal development in particular and social progress in general. Our study was conducted in the schools of the villages of Gowdahalli and Daradahalli of Chikamagalur district in the south western part of Karnataka state. A total of 110 students participated in this study, which consisted of 70 boys and 40 girls. These students were interviewed through a class to class survey …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 2, Issue 1, 2012 · pp. 1–4 Read article
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Geoinformatics based Micro-Watershed wise Land capability analysis for Sustainable Land Resources Management
Abstract: Land is one of the important component on which physical, economical and social development depends. The land capability classification is the grouping of land units into defined classes based on its capability. It is a broad grouping of soils based on their limitations and is designed to emphasize the hazards in different kinds of soils. It serves as a guide to assess suitability to the land for agricultural crops, grazing …
Published in Research & Reviews : Journal of Ecology · Vol. 8, Issue 1, 2019 · pp. 39–46 Read article
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Flood Inundation Mapping for using Sentinel-1 SAR Data for Assam during 2018
Abstract: This paper is focusing on the flood inundation mapping of Hailakandi, Assam flood during 2018 using Sentinel 1 Single Look Complex (SLC) and Ground Range Detected (GRD) data. For the analysis of water pixels, pre and post event images of SLC and GRD data were downloaded with similar specification such as same date, pat and row. Supervised classification is performed with the pre and post event of the study area …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 16–25 Read article
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Phytochemical and Pharmacological Importance of Turmeric (Curcuma longa): A Review
Abstract: Curcuma longa L. is a member of the ginger family (Zingiberaceae) and used widely by the traditional medical practitioners for the treatment of various ailments. Due to high curcumin content Indian turmeric is very popular as compared to other countries. Rhizomes derived from Curcuma longa is commonly known as Haldi or Turmeric. Rhizomes are horizontal underground stems that send out shoot as well as roots. Turmeric constitutes of fat-soluble, polyphenolic …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 9, Issue 1, 2019 · pp. 16–23 Read article
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Description & Prevention of Omicron
Abstract: November 9, 2021, Botswana becomes the first country to recognise it (Nov 11 2021). The new variant (B.1.529) has been represented in 77 countries. Omicron presents 32 changes in spike protein Scribd, restricting the point of interaction with the ACE2 receptor protein. Computational shows and components’ recreation has been applied to investigate the collaboration between the SARS-CoV-2 RBD and the ACE2 receptor. The receptor-binding domain (RBD), which more barely joins …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 8, Issue 4, 2023 · pp. 5–16 Read article