Search Results - "Garg, Dweepna"

An Efficient Deep Convolutional Neural Network Approach for Object Detection and Recognition Using a Multi-Scale Anchor Box in Real-Time by Varadarajan, Vijayakumar, Garg, Dweepna, Kotecha, Ketan

“…Deep learning is a relatively new branch of machine learning in which computers are taught to recognize patterns in massive volumes of data. It primarily…”
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An Efficient Multi-Scale Anchor Box Approach to Detect Partial Faces from a Video Sequence by Garg, Dweepna, Jain, Priyanka, Kotecha, Ketan, Goel, Parth, Varadarajan, Vijayakumar

“…In recent years, face detection has achieved considerable attention in the field of computer vision using traditional machine learning techniques and deep…”
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Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions by Noronha, Stephanie S., Mehta, Mayuri A., Garg, Dweepna, Kotecha, Ketan, Abraham, Ajith

“…Dermatological conditions are a global health concern affecting all age groups. They encompass various skin issues such as rashes, moles, acne, blisters,…”
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Analytical Review of COVID-19 Outbreak in India During the Global Pandemic by Goel, Parth, Garg, Dweepna, Ganatra, Amit

“…COVID-19 is one of the very contagious diseases from the family Coronaviridae and spreading at a faster rate in the community. In December 2019, the first case…”
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An Efficient Gait Abnormality Detection Method Based on Classification by Jani, Darshan, Varadarajan, Vijayakumar, Parmar, Rushirajsinh, Bohara, Mohammed Husain, Garg, Dweepna, Ganatra, Amit, Kotecha, Ketan

“…In the study of human mobility, gait analysis is a well-recognized assessment methodology. Despite its widespread use, doubts exist about its clinical utility,…”
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Evaluating Deep Learning Models for Human Activity Recognition: CNN, RCNN, and VGG Approaches by Jani, Ritika, Garg, Dweepna

“…Human Activity Recognition (HAR) in video surveillance is an evolving field with profound implications for security, safety, and efficiency across various…”
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Image Captioning: A Comprehensive Survey, Comparative Analysis of Existing Models, and Research Gaps by Panchal, Nisha, Garg, Dweepna

“…Image captioning is a research area that focuses on the development of algorithms and models that can automatically generate descriptive and coherent captions…”
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A Deep Learning Approach for Face Detection using YOLO by Garg, Dweepna, Goel, Parth, Pandya, Sharnil, Ganatra, Amit, Kotecha, Ketan

“…Deep learning is nowadays a buzzword and is considered a new era of machine learning which trains the computers in finding the pattern from a massive amount of…”
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YOLOv8-based Waste Detection System for Recycling Plants: A Deep Learning Approach by Shroff, Meet, Desai, Akshat, Garg, Dweepna

“…Waste management is increasingly attracting attention due to its role in smart and sustainable development, especially in developed and developing nations…”
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Agricultural Analysis of Machine Learning Algorithms for Crop Prediction by Savaliya, Laksh, Sapovadiya, Manav, Garg, Dweepna, Patel, Premal, Shah, Milind

“…Farming holds great importance in India, a country that depends significantly on agriculture. According on the 2022-23 census, the proportion of Gross Value…”
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Software Defined Network (SDN) Implementation with POX Controller by Patel, Riya, Patel, Parth, Shah, Parth, Patel, Bansari, Garg, Dweepna

“…While the idea of conceptually centralized network control is well accepted and understood throughout the SDN community, there are many alternative methods…”
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A Roadmap on Handwritten Gujarati Digit Recognition using Machine Learning by Bharvad, Janardan, Garg, Dweepna, Ribadiya, Shivam

“…One of the major difficulties in the area of pattern recognition and image processing is handwritten character recognition (HCR). For human, this seems to be…”
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DNA Archives: Revolutionizing Data Storage by Patel, Radhika, Garg, Dweepna, Shah, Milind, Dharmajwala, Safeya, Jindal, Kush, Nayak, Amit

“…Every day, the internet generates an average of 2.5 quintillion bytes of data. As a result, while the need for data storage is increasing exponentially, the…”
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Enhancing Marine Conservation: YOLOv8-based Underwater Waste Detection System by Shah, Milind, Garg, Dweepna, Ghariya, Rutika, Solanki, Vaishnavi, Rajput, Roopal, Chauhan, Mayur

“…Robust machine-learning algorithms are essential for successfully operating underwater directions and intelligent object recognition systems in turbid water…”
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Fuzzy K-mean clustering in MapReduce on cloud based hadoop by Garg, Dweepna, Trivedi, Khushboo

“…Clustering is regarded as one of the significant task in data mining which deals with primarily grouping of similar data. To cluster large data is a point of…”
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Plant Disease Detection and Classification Using Machine Learning Algorithm by Gosai, Dhruvi, Kaka, Binal, Garg, Dweepna, Patel, Radhika, Ganatra, Amit

“…Agriculture accepts a basic part by virtue of the quick improvement of the general population and extended interest in food in India. Hence, it is required to…”
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A Review on Big Data: Privacy and Security Challenges by Goel, Parth, Patel, Radhika, Garg, Dweepna, Ganatra, Amit

“…In the age of technological innovations, the amount of data is increasing to a great extent. With this, an increasing trend is observed in the field of big…”
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Credit Card Fraud Detection Using Local Outlier Factor & Isolation Forest Algorithms: A Complete Analysis by Ghevariya, Ravi, Desai, Rahul, Bohara, Mohammed Husain, Garg, Dweepna

“…Credit card fraud problem is one of the soared issues in present. A huge economical damage has severely impacted the cusses who are using and connected with…”
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A performance analysis of MapReduce applications on big data in cloud based Hadoop by Gohil, Parth, Garg, Dweepna, Panchal, Bakul

“…MapReduce is one of the most popular programming model for big data analysis in Distributed and Parallel Computing Environment. It is used for implementing…”
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Modified Fuzzy K-mean clustering using MapReduce in Hadoop and cloud by Garg, Dweepna, Gohil, Parth, Trivedi, Khushboo

“…Apache Hadoop is an open source software framework which structures Big data (both structured and unstructured). It is nowadays one of the biggest motivator in…”
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