Research issues and future research directions toward smart healthcare using internet of things and machine learning

S Kute, AK Tyagi, MM Nair - Big data management in Sensing, 2022 - taylorfrancis.com
Machine Learning (ML) and Internet of Things (IoT) are two of the highly discussed and
extensively used research areas in the current world. In highly essential and sensitive …

Security, privacy and trust issues in internet of things and machine learning based e-healthcare

SS Kute, AK Tyagi, SU Aswathy - Intelligent Interactive Multimedia Systems …, 2022 - Springer
Abstract The Internet of Things (IoT) or Internet Connected Things is the networking of
physical devices that are both connected and smart. These devices are embedded with …

Traffic prediction using machine learning

HR Deekshetha, AV Shreyas Madhav… - … Computing and Mobile …, 2022 - Springer
The paper deals with traffic prediction that can be done in intelligent transportation systems
which involve the prediction between the previous year's dataset and the recent year's data …

Algorithmic trading using continuous action space deep reinforcement learning

N Majidi, M Shamsi, F Marvasti - Expert Systems with Applications, 2024 - Elsevier
Finding a more efficient trading strategy has always been one of the main concerns in
financial market trading. In order to create trading strategies that lead to higher profits …

Security optimization of resource-constrained internet of healthcare things (IOHT) devices using asymmetric cryptography for blockchain network

V Jayaprakash, AK Tyagi - International Conference on Network Security …, 2021 - Springer
Abstract The term “Internet of Things” is becoming increasingly popular and promising,
ushering in a new era of smarter connectivity across billions of gadgets. In the foreseeable …

Sustainable Advanced Techniques for Enhancing the Image Process

P Das, PS Ramapraba, K Seethalakshmi… - Fostering Cross …, 2024 - igi-global.com
This chapter discusses modern techniques for image improvement, including pixel editing,
clarity enhancement, and minimal-size object recognition. An outline of photo enhancement …

Building a smart healthcare system using Internet of Things and machine learning

S Kute, AK Tyagi, R Sahoo, S Malik - Big data management in …, 2022 - taylorfrancis.com
The Internet of Things (IoT) and Machine Learning (ML) are commonly used in the field of
medical diagnostics and health care to monitor a patient's condition. The IoT has been used …

An Useful Survey on Supervised Machine Learning Algorithms: Comparisons and Classifications

B Abhishek, AK Tyagi - International Conference on Advances in Electrical …, 2021 - Springer
The look for methodologies that can make inferences from externally supplied data develop
broad hypotheses that are subsequently used to create forecasts concerning future events is …

A convolutional neural network (CNN)-based pneumonia detection using chest X-ray images

J Pal, S Das - Using Multimedia Systems, Tools, and Technologies …, 2023 - igi-global.com
Pneumonia is a fatal illness; an infection that occurs in one or both human lungs. It is caused
by either bacterial or viral infection. Pneumonia impacts mostly elders, as well as children …

COMPARISON OF DEEP LEARNING ARCHITECTURES FOR ANEMIA CLASSIFICATION USING COMPLETE BLOOD COUNT DATA

G Airlangga - Jurnal Teknik Informatika (Jutif), 2024 - jutif.if.unsoed.ac.id
Anemia is a common condition marked by a deficiency in red blood cells or hemoglobin,
affecting the body's ability to deliver oxygen to tissues. Accurate and timely diagnosis is …