Titlebook: Sentimental Analysis and Deep Learning; Proceedings of ICSAD Subarna Shakya,Valentina Emilia Balas,Ke-Lin Du Conference proceedings 2022 Th

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Single-Channel Speech Enhancement in Modulation Domain Using Particle Swarm Optimization,uality of noisy speech. Modulation domain spectral subtraction for separate real and imaginary spectra improves speech intelligibility without having musical noise in enhanced speech. In this paper, we suggest using particle swarm optimization-based noise estimation for single-channel speech enhance

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Pneumonia and Diabetic Retinopathy Detection Using Deep Learning Algorithm,or health threats in not just young adults but also children if not detected timely. Diabetic Retinopathy, a disease commonly seen in diabetic patients can be lethal and make a person lose their eyesight. To diagnose these diseases timely, the amalgamation of health with technology is inevitable. Wi

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An Interview Transcriber Using Natural Language Processing, and platforms of wider interactions like seminars. Online medium has been emerging as the order of the day. In this context, this paper looks at a new challenge that is being faced by various institutions while carrying out the interview process or interactions online or on a telephone. The recruit

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Plagiarism Detection for Source Codes and Texts,internet for various different needs from sending messages, calling, sharing pictures to acquire skills online. It is serving as a source of information, entertainment and has made online shopping easy. It has made our life very convenient. But people now tend to spend more and more time on it witho

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Investigation of Kinetic Energy Harvesting from Human Body Motion Activities Using Free/Impact Elecbration. To have the best efficiency and energy harvesting, harvesters are used to create energy using insole sensors, Micro-electromagnetic generators and servomotors can be used to obtain the output and it should be tested with the actual human body movements. Understanding the biomechanics of a h

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Automated Determination of Critical Temperature,thms Multiple Linear Regression, Lasso Regression, and SVM regression respectively for prediction of critical temperatures of chemical compounds. We achieved an accuracy of 84.61% for models using Multiple Linear Regression, and Lasso Regression algorithms and 63.47% for model using SVM Regression.

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ANN-based Hybridization Approach for Detection of Cardiac Disease,symptoms, by making it more deadly than other types of illnesses. The majority of the world’s population are unaware that they are suffering from heart disease; hence, it greatly increases the death rate. Lack of early detection of heart disease is one of the most significant research gaps that need