Advances in image‐based artificial intelligence in otorhinolaryngology–head and neck surgery: a systematic review

Q Wu, X Wang, G Liang, X Luo, M Zhou… - … –Head and Neck …, 2023 - Wiley Online Library
Objective To update the literature and provide a systematic review of image‐based artificial
intelligence (AI) applications in otolaryngology, highlight its advances, and propose future …

Energy consumption prediction in electrical appliances of commercial buildings using LSTM-GRU model

SK Mohapatra, S Mishra… - … on Advancements in …, 2022 - ieeexplore.ieee.org
As with economic growth and urbanization, there is a significant impact on energy
consumption in residential and commercial buildings. Analyzing the energy consumption of …

Medi-Assist: A Decision Tree based Chronic Diseases Detection Model

A Srivastava, S Samanta, S Mishra… - 2023 4th …, 2023 - ieeexplore.ieee.org
Rise of predictive techniques have changed the manner we deal with disease diagnosis in
healthcare domain. Earlier detail analysis of patient data records was done for disease …

Detection of hate-speech tweets based on deep learning: A review

AZ Miran, AM Abdulazeez - JISA (Jurnal Informatika dan Sains), 2023 - trilogi.ac.id
Cybercrime, cyberbullying, and hate speech have all increased in conjunction with the use
of the internet and social media. The scope of hate speech knows no bounds or …

Parkinson Risks Determination Using SVM Coupled Stacking

S Dutta, S Choudhury, A Chakraborty, S Mishra… - International Conference …, 2023 - Springer
Biomarkers obtained from a person's voice may provide interpretations into brain-related
risks like Parkinson's disease due to their cognitive aspects. This audit portrays as of late …

A Smart Data-Driven Prototype for Depression and Stress Tracking in Patients

P Pranjal, S Mallick, M Madan, S Mishra… - International Conference …, 2023 - Springer
One of the most significant issues of our time is how stress affects depression and how
depression affects stress. The aim of this paper is to provide a brief overview of IoT use in …

New possibilities for medical support systems utilizing artificial intelligence (AI) and data platforms

K Karako, P Song, Y Chen, W Tang - BioScience Trends, 2023 - jstage.jst.go.jp
In Japan, there is a growing initiative to construct centralized databases and platforms that
can aggregate and manage a vast range of medical, health, and caregiving data for …

ECG-Based Cardiac Abnormalities Analysis Using Adaptive Artificial Neural Network

P Patra, V Ved, S Chakraborty, S Mishra… - International Conference …, 2023 - Springer
Electrocardiogram (ECG) is generally used to detect cardiac risks due to its lucidity and non-
invasiveness. During the past decades, several studies have helped to create an automatic …

Optimizing BTM of HV Battery Pack for Automotive Application Using Electro-Thermal Simulation

SN Naveen, SR Gunti, MAN Kumar… - … Power and Energy …, 2022 - ieeexplore.ieee.org
One of the important systems in the design of an electric vehicle is the Battery Thermal
Management System (BTMS) which directly affects the operation of the battery in terms of …

Intervertebral Cervical Disc Intensity (IVCDI) Detection and Classification on MRI Scans Using Deep Learning Methods

MF Erkoc, H Ulutas, ME Sahin - International Journal of …, 2024 - Wiley Online Library
Radiologists manually interpret magnetic resonance imaging (MRI) scans for the detection
of intervertebral cervical disc degeneration, which are often obtained in a primary care or …