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检索条件"任意字段=7th IASTED International Conference on Advances in Computer Science and Technology"

共 1494 条记录，以下是51-60 订阅

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Analyzing Cricket Biomechanical Parameters through Keypoint Detection and Tracking 7th

Analyzing Cricket Biomechanical Parameters Through Keypoint ...

引用

7th international conference on computer, Communication and Signal Processing, ICCCSP 2023

作者： Pandey, Pranay Dhruv Shindhe, S. Omkar, S.N. Jharkhand Dhanbad India ARTPARK Indian Institute of Science Bengaluru India IISc Department of Aerospace Bangalore India

ISBN: (纸本)9783031398100

In Cricket the environment is bound to undergo quick and precise motion that is time consuming and complex for analyzers and coaches to draw conclusions from and for audiences to follow. though there are already existing methods utilizing bounding boxes for detection, their scope is limited considering the various biomechanical parameters and angles that are generally a critical source of information in this sport. this paper discusses the solution by using key point detection for angle estimation and orientation of the objects. © IFIP international Federation for Information Processing 2023.

关键词： Sports

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Campus Placement and Salary Prediction: Leveraging Machine Learning for Enhanced Employability 7th

Campus Placement and Salary Prediction: Leveraging Machine L...

引用

7th IFIP TC 12 international conference on Computational Intelligence in Data science, ICCIDS 2024

作者： Jayashre Raahul, R. Roahith, R. Ganesan, Shanmathi Department of Computer Science and Engineering Shiv Nadar University Chennai India

ISBN: (纸本)9783031699856

In an era of fierce talent competition, optimizing campus placement and predicting graduate salaries is vital. this paper explores ‘Campus Placement and Salary Prediction’ using SVM, Random Forest, Logistic Regression, KNN, and Gradient Boosting. We analyze a comprehensive dataset with student info, academics, skills, internships, and placement outcomes to identify success factors. We employ a majority voting rule among these models and have created a user-friendly website for practical use in academic institutions. Our multifaceted research supports institutions in enhancing student employability and aligning academic goals with the evolving job market. Logistic Regression, one of the models employed has campus placement prediction, has an accuracy of 84%, whereas Gradient Boosting, one of the models used for salary estimation, has an accuracy of 78%. © IFIP international Federation for Information Processing 2024.

关键词： Students

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An Evaluative Investigation of Deep Learning Models by Utilizing Transfer Learning and Fine-Tuning for Cervical Cancer Screening of Whole Slide Pap-Smear Images 7

An Evaluative Investigation of Deep Learning Models by Utili...

引用

7th international conference on computer Applications in Electrical Engineering-Recent advances, CERA 2023

作者： Chauhan, Nitin Kumar Singh, Krishna Namdeo, Shravan Muley, Ankit Ggs Indraprastha University Usict Department of Ece Delhi110078 India Indore Institute of Science and Technology Department of Ece Indore453331 India Department of Ece DSEU Okhla Campus-I New Delhi110020 India

ISBN: (纸本)9798350305005

Deep learning (DL) is a prominent tool utilized today in many applications across many industries, including the healthcare realm. DL methods can manage several problems that traditional artificial intelligence (AI) methods find challenging. In this paper, we analyzed the performance of nine prevalent DL models i.e. VGG-16, DenseNet-121, ResNet50, VGG-19, DenseNet-169, Xception, EfficientNetB0, InceptionV3, and ResNet-152 pre-trained on ImageNet dataset for cervical cancer screening. these previously trained models are fine-tuned by utilizing transfer learning (TL) for 5-class and 2-class classification of whole slide pap-smear images (WSI). Two-step data augmentation is being used for the preprocessing of data to enhance the efficacy and robustness of classifiers by increasing the amount of the training data and reducing overfitting. Among the aforementioned DL methods, VGG-16 performs best among all with an accuracy of 94.89% for 5-class and 97.16% for 2-class classification. © 2023 IEEE.

关键词： Classification (of information)

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Deoxyribonucleic Acid Cryptography Based Least Significant Byte Steganography 7th

Deoxyribonucleic Acid Cryptography Based Least Significant B...

引用

7th international conference on computer, Communication and Signal Processing, ICCCSP 2023

作者： Anavekar, Aditya Rajkumar, S. School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore632014 India

ISBN: (纸本)9783031398100

Cryptography and steganography are used to safeguard data, but each has its own set of problems. One of the major issues with cryptography is its ridiculous out-put, so the attacker will interrupt the transfer or carefully examine the data from the sender to the receiver. the issue with steganography is that the message is known when the existence of hidden information is revealed or even just suspected. In order to increase information security, an integrated data protection ap-proach employing cryptography and steganography techniques is described in this study. the Least Significant Byte (LSB) Steganography technique and the Deoxyribonucleic acid (DNA) transcription method in cryptography are first suggested. the proposed method is implemented and tested with various perfor-mance metrics. Further, experimental results compared with the existing work, and it turns out to be more efficient. © IFIP international Federation for Information Processing 2023.

关键词： Cryptography

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Real-Time Soil Moisture Sensing Using Arduino for Automated Plant Irrigation System 7th

Real-Time Soil Moisture Sensing Using Arduino for Automated ...

引用

7th IFIP TC 12 international conference on Computational Intelligence in Data science, ICCIDS 2024

作者： Vijayalakshmi, R. Deepalakshmi, R. Madhavan, T.S. Siva Balasubramanian, G. Department of Computer Science and Engineering Velammal College of Engineering and Technology Tamil Nadu Madurai India Velammal College of Engineering and Technology Tamil Nadu Madurai India

ISBN: (纸本)9783031699856

Irrigation constitutes a fundamental element of agriculture and food production. Outdated methods in both developing and underdeveloped nations result in significant water wastage during this crucial process. this project proposes an inventive method for automating the control of water release valves in micro irrigation networks with prediction of required humidity by weather condition using artificial intelligence (AI). this system seeks to close the gap between water supply and crop demand while also optimizing resource use and reducing environmental impact by using AI-powered soil moisture monitoring and decision-making processes. this project address the key factors like varying demand of water for crops based upon the growth stage, weather conditions and plant type. this reducing the usage by adopting the method of micro irrigation which reduces the usage of water by 70–80% than conventional methods of irrigation. this project also provides a user-friendly interface to efficiently control the watering of plants when needed by the user. © IFIP international Federation for Information Processing 2024

关键词： Decision making

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Lecter-A Large Language Model Chatbot for Cognitive Behavioral therapy 7th

Lecter-A Large Language Model Chatbot for Cognitive Behavior...

引用

7th IFIP TC 12 international conference on Computational Intelligence in Data science, ICCIDS 2024

作者： Sham Sundhar, R. Shivavardhini, T. Daphine Desona Clemency, C.A. Roobini, M.S. Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9783031699818

Mental Illnesses such as Anxiety and Depression are fairly prevalent in modern society. Yet most people do not get diagnosed, cannot afford treatment, or there simply aren’t any readily available practitioners. In the worst-case scenario, avoiding treatment can increase the likelihood of self-harm in affected individuals, both emotionally and physically. A low-cost and easily available solution is required to provide the benefits of therapy to the masses. In this paper, we introduce "Lecter", a chatbot solution specifically targeted to providing free mental health care to individuals who cannot access an actual therapist. With the help of the superior conversational abilities of an LLM (large language model), Lecter listens to the concerns and problems that patients face and helps them introspect, and better understand their feelings using a popular therapy technique called Cognitive Behavioral therapy (CBT). Lecter provides its services using technologies such as an LLM called Mythomax, React Js for the front end of the application, Flask for the back end, and MongoDB for authentication and storage. © IFIP international Federation for Information Processing 2024.

关键词： Emotion Recognition

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Healthify App Using Blockchain with Cloud 7th

Healthify App Using Blockchain with Cloud

引用

7th IFIP TC 12 international conference on Computational Intelligence in Data science, ICCIDS 2024

作者： Ponmani, S. Sushil Mane, M. Vinita Piola, A. Department of Computer Science Rajalakshmi Engineering College Thandalam Tamil Nadu Chennai India

ISBN: (纸本)9783031699856

In the modern healthcare industry, hospitals still use outdated data management systems for patient data, and the way patient health records are kept and safeguarded does not reflect our technological advancements in this field. Blockchain technology can completely transform the healthcare sector by enhancing the security and storage of medical data and records. this project uses cloud computing to implement blockchain technology in the health sector. If we have an internet connection, cloud storage enables data access on any device, at any time, and from any location. In the healthcare industry, blockchain offers advantages like accurate patient care, and real-time data access. this project proposes hosting a blockchain code on a cloud network to develop a prototype app for the healthcare sector. By utilizing cloud infrastructure, the solution can adapt to the evolving needs of the healthcare industry while meeting regulatory requirements. © IFIP international Federation for Information Processing 2024.

关键词： Electronic health record

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Enhancing Cybersecurity Resilience: Real-time Ransomware Detection using AES Algorithm on Kafka Stream 7

Enhancing Cybersecurity Resilience: Real-time Ransomware Det...

引用

7th international conference on Electronics, Communication and Aerospace technology, ICECA 2023

作者： Khatuna Jannat, Umma Kumar, M.Mohan Arif Islam, Syed Karpagam Academy of Higher Education Dept. of Computer Science Coimbatore India

ISBN: (纸本)9798350340600

the escalating threat of ransomware attacks to internet services demands robust detection and mitigation methods. this study introduces an innovative strategy for countering ransomware attacks using the Advanced Encryption Standard (AES) algorithm for real-time traffic classification on kafka stream. Achieving a remarkable 96.7% accuracy, model effectively identifies ransomware attack patterns. Leveraging kafka distributed streaming capabilities, the solution proves its scalability for handling extensive ransomware query flows. the model's efficiency and resilience make it a practical choice for prompt ransomware detection and response. through rigorous experimentation, demonstrate the efficacy of the AES-based approach in combatting ransomware threats. the solution not only accurately identifies attack patterns but also does so swiftly, aligning with real-world requirements. this research presents a pivotal step in fortifying digital ecosystems against ransomware. Amid the mounting ransomware challenge, this study advances security measures for digital landscapes. Employing AES on kafka stream empowers stakeholders to proactively mitigate ransomware risks, highlighting the significance of robust traffic classification in safeguarding digital domains. © 2023 IEEE.

关键词： Malware

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Classification of Malignant or Benign Cancer using Neural Networks 7

Classification of Malignant or Benign Cancer using Neural Ne...

引用

7th international conference on advances in Biomedical Engineering, ICABME 2023

作者： Haidar, Gaby Abou Achkar, Roger Semaan, David Owayjan, Michel American University of Science and Technology Beirut Lebanon Faculty of Engineering and Computer Science Department of Computer and Communications Engineering Lebanon

ISBN: (纸本)9798350325850

Cancer detection and predetection are being highly researched and studied recently due to the high density spread of this disease. It occurs when abnormal cells divide continuously without limitation where it can spread randomly to different parts of the body. Different types of cancer are recorded targeting the blood, lungs, bones, liver, and many other organs. People with cancer have similar symptoms such as lumps, abnormal bleeding, eating problems, fatigue, weight loss, and some more severe issues. Breast Cancer, which will be addressed in this work, is a type of cancer that hits women in general. It is dangerous especially when cells around the breast area overgrow and cause lumps on the breasts. In order to pre-detect and try to avoid breast cancer., it's important to perform annual mammography check. this work is aimed to create a classification system that uses neural network algorithms to conclude whether a certain tumor is a malignant or a benign tumor. Back Propagation algorithm as well as supervised learning were used and tested with highly satisfying successful classification. © 2023 IEEE.

关键词： Diseases

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IoT Based Smart Home with a thief Detection and Tracking System 7

IoT Based Smart Home with a Thief Detection and Tracking Sys...

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7th international conference on Electronics, Communication and Aerospace technology, ICECA 2023

作者： Surana, Amruta Kendre, Priyanka K. Palkar, Jayashri D. Vaidya, Anusha O. Jain, Chetana H. Gopinath, N. Sinhgad Institute of Technology Computer Engineering Department Lonavala India Trinity Academy of Engineering Department of Information Technology Pune India Trinity Academy of Engineering Department of Electronics and Telecommunications Pune India B.S.Abdur Rahman Crescent Institute of Science and Technology Department of CSE Chennai India

ISBN: (纸本)9798350340600

As automation technology advances exponentially, human-operated systems are progressively replaced by automated ones. Massive adoption and pervasive impact of the Internet of things have drastically altered how humans relate to and comprehend the physical world. the exponential expansion of internet-enabled devices is incredible, from the smallest sensors to the largest industrial robotics. In recent years, 'smart home' technologies have garnered considerable interest due to their potential to enhance people's daily lives. With the assistance of smart home technology, homeowners can swiftly and comfortably control the climate in their homes. Recently, increasingly sophisticated and inventive technologies have been developed to support 'smart living' systems. the primary objective of this article is to use the Internet of things to design a smart home automation system that enables remote monitoring and administration of a conventional home via an Android-based smartphone application and cutting-edge security technology. the proposed research uses cutting-edge technologies such as machine learning and the Internet of things to locate and track intruders. It substantially increases safety when compared to more traditional methods. © 2023 IEEE.

关键词： Internet of things

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