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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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CTCHFA: Discovery of Circulating Tumor Cells in Metastatic Breast Cancer and Nonmetastatic Cancer by using Novel Hybrid Hierarchical Clustering Algorithm in Firefly Distance
Abstract: AbstractBlood testing for circulating tumor cells (CTCs) has emerged as one of the highest fields in cancer research. CTC detection are an early gene marker of reaction to systemic therapy, whereas their molecular characterization has a strong field that can be translated to individualized targeted treatments and spare breast cancer (BC) patients from unnecessary and ineffective therapies. Genomic research regarding CTCs monitoring for BC is limited due to the lack …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 9–18 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 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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Automated Fake News Detection System
Abstract: The classification of fake news on social media platforms has drawn a lot of attention recently because it is so simple to put false stuff there. In addition, they prefer social media to traditional television as their news source of choice. These patterns have increased academics' understanding of fake news and inspired an increase in interest in its identification. The primary goal of this work was to classify incorrect information …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 70–78 Read article
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Machine Learning Techniques Based on Sentiment Analysis for Drug Recommendation System
Abstract: A recommended system can help the user make sense of complex information and make well-considered choices. User-generated material is conveyed in human language in various nuanced ways, making it difficult to provide recommendations based on a study of attitudes. However, there has been a shortage of research devoted to health and medical concerns compared to more mainstream areas like product and media critiques and dining-out recommendations. Sentiment analysis (SA) of …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 3, 2023 · pp. 83–94 Read article
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A Review on Segmentation Approaches for Brain Tumor Detection
Abstract: It is commonly said statement ‘the health is wealth’, so if you are healthy then everything is with you. Although everyone takes care of their health in their own ways but some diseases are not under the control of the human being.The “tumor” is one of the crucial diseases which is till now, out of control, in which brain tumor is again a serious issue. The most crucial job which …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 6–12 Read article
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DoS Attacks and Detection Schemes in Wireless Mesh Networks
Abstract: The attacks of DoS are a group of collaborative attacks made by attackers to threat internet security. A compromised system was used by the attacker has been used prohibit the user to access the resources. The attacker uses compromised systems to prevent users from having access to the server resources. In this survey, we will find defense mechanisms against DoS attacks that may have importance through the internet. The appliances …
Published in Journal Of Network security · Vol. 9, Issue 1, 2021 · pp. 11–19 Read article
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Anomaly Based Intrusion Detection Using Machine Learning Techniques
Abstract: Detection of Cyberattacks/anomalies in a network to build an efficient Intrusion Detection System (IDS) is very important. A system called an intrusion detection system (IDS) monitors network traffic in order to find suspicious activity and sends out signals when it is noticed. Monitoring and data analysis are designed with the objective of finding any network or system intrusions. Machine learning methods can anticipate both known and unidentified attacks. This project …
Published in Journal Of Network security · Vol. 10, Issue 2, 2022 · pp. 1–8 Read article
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Smart CCTV for Daycare
Abstract: In the modern world, security has been the most crucial issue. Closed Circuit Television (CCTV) is used to monitor, and identify the specific surrounding for surveillance and security purpose. The device warns of the presence of any individual in the vicinity and adds security by documenting the person's actions. In day-care, the footage captured by surveillance camera is critical for crime prevention and investigation. A motion detection, video capturing, and …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 44–47 Read article
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An Appraisal of Medhya Rasayana (Nootropic Herbs) In Present Scenario
Abstract: Rasayana tantra is a branch of ayurveda which describes the measures of attaining long life, maintenance of youthfulness, increasing immunity and providing excellent nutrition to all the body tissues. Rasayana on regular practice boosts nourishment, health, memory, immunity and longevity. Rasayana can be classified as Dravyabhuta and Adravyabhuta Rasayana. Adravyabhuta Rasayana includes Aachara Rasayana and Dravyabhuta Rasayana; classified as Kamya Rasayana, Naimittika Rasayana and Ajasrika Rasayana. Medhya Rasayana (nootropic herbs) …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 7, Issue 1, 2018 · pp. 27–32 Read article
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Lauha Bhasma: A Critical Review
Abstract: The pharmaceutical branch of Ayurveda known as Rasashastra, deals in depth with the formulation of various metals and minerals to maximise their therapeutic effect. Bhasma are Rasa preparations in which metals and minerals are processed employing a variety of Samsakara such as Shodhana, Jarana, Marana, Amritikatana etc. The Bhasma Kalpana is one of the thermodynamics-based pharmaceutical concept by which a metallic ore or a metal itself can be converted into …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 10, Issue 3, 2023 · pp. 26–32 Read article
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Antifungal Susceptibility Pattern of Candida Species Isolates from Dehradun City Hospitals
Abstract: The present investigation on the topic entitled “Antifungal susceptibility analysis of Candida species isolates from Dehradun City hospital.” was accomplished in the Doon University Microbiology laboratory (P.G.) and Hospital, Dehradun, Uttarakhand, during the period of February 2021 to July 2021. A total of 42 clinical samples were collected from patients, suspected of candidiasis from Dehradun city hospitals. Clinical samples were collected from oral cavity, blood, vaginal fluid and urine of …
Published in Research and Reviews : A Journal of Immunology · Vol. 12, Issue 2, 2022 · pp. 12–28 Read article
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Awareness of Voice Symptoms and Gender Predisposition in South Indian Carnatic Singers using The Singing Voice Handicap Index
Abstract: Abstract Purpose: Voice is crucial for communication and thereby the quality of life. This study was carried out with the objectives: a) to find out the differences among the physical, functional, and emotional domains of SVHI 10 and b) to check for gender predisposition, if any, in the estimated singing voice handicap symptoms. Method: 38 trained Carnatic classical singers (19 males and 19 females) from the South Indian states of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 2, 2020 · pp. 1–6 Read article
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CiviCare: An AI-Powered Smart Water Governance and Grievance Resolution System for Urban Local Bodies in India
Abstract: Water supply operations in many Indian Urban Local Bodies (ULBs) continue to rely on manual processes that lack transparency, efficiency, and accountability. Citizens often have limited access to information regarding supply schedules, connection status, and billing details. Grievances are frequently reported through informal channels, resulting in poor traceability and lack of resolution assurance. This paper introduces CiviCare, a full-stack AI-enabled web platform designed to digitize and optimize municipal water governance …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 15–23 Read article
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To Control Home Appliances Using Hand Gesture Recognition
Abstract: Now a day, Remote Control System (RCS) is popular to control home appliances. At same time, Hand Gesture Recognition (HGR) has superseded remote control system with rapid growth in technology. There are various approaches that are applied to Hand Gesture Recognition. Most of approaches are based on three Stages: Preprocessing, Feature-Extraction and Classification. These approaches require hand gesture as an input to system; perform wide variety of mathematical algorithm to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 29–34 Read article
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Emotion mining using Unsupervised Learning
Abstract: Social networks are considered as the most abundant sources of affective information for Sentiment and Emotion Classification. Emotion Classification is the challenging task of classifying emotions into different types. Emotion is a mental state observed by behavioral or developmental changes. Emotions being universal, the automatic exploration of emotion is considered as the difficult task to be performed. A lot of the research is being conducted in the field of automatic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 24–34 Read article
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A Study on Offline Handwritten Character Recognition (OHCR) of Devanagari Script
Abstract: Handwritten Character Recognition (HCR) has been an interesting and challenging area for the researchers and plays an important role in the modern world. Devanagari script contains many Indian languages such as Hindi, Marathi, Rajasthani. All these languages are based on Devanagari script. In this paper, we give an overview on different classifiers (to get the idea of recognition results) and provide new benchmark for future research from the existing systems, …
Published in Journal of Open Source Developments · Vol. 1, Issue 2, 2014 · pp. 11–14 Read article
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Quantum Cryptography: A New Approach in Cryptographic World
Abstract: AbstractBy applying the phenomena of quantum physics, this technology works. In quantum cryptography two parties can communicate via secure channel. When Stephen Wiesner wrote “Conjugate Coding” Quantum Cryptography was born in early seventies. Two components of quantum cryptography work under the Heisenberg uncertainty principle and the principle of photon polarization. The Heisenberg uncertainty principle states that “it is impossible to determine simultaneously and accurately the position and momentum of subatomic …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 3, 2020 · pp. 25–28 Read article
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Customer Churn Prediction in Life Insurance
Abstract: In order to forecast customer churn and keep consumers, life insurance firms frequently struggle to use their data efficiently. New opportunities have emerged for tackling this problem due to advancements in categorization models within the field of machine learning. In this study, we suggest an innovative method that uses machine learning classification models to forecast client churn and boost customer retention rates in the life insurance sector. Our proposed system …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 1, 2023 · pp. 23–34 Read article
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Predicting Employees Performance using Data Mining Techniques
Abstract: Human resources management (HRM) has become one of the essential interests of managers and 4decision-makers in almost all types of businesses to adopt plans for correctly discovering highly qualified employees. In this research, data mining techniques were utilized to build a classification model for predicting the performance of employees using a real dataset. For this, we are using different methods such as support vector machine, Logistic Regression and Neural Network. …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 1, 2021 · pp. 4–13 Read article