Adventures in data analysis: A systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
Abstract Machine Learning (ML) and Deep Learning (DL) have achieved high success in
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …
many textual, auditory, medical imaging, and visual recognition patterns. Concerning the …
Energy-efficient routing in wireless sensor networks: a meta-heuristic and artificial intelligence-based approach: a comprehensive review
R Priyadarshi - Archives of Computational Methods in Engineering, 2024 - Springer
Abstract Artificial Intelligence (AI) realizes Wireless Sensor Networks (WSNs) as a dynamic
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …
Robust human locomotion and localization activity recognition over multisensory
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
Xraygpt: Chest radiographs summarization using medical vision-language models
The latest breakthroughs in large vision-language models, such as Bard and GPT-4, have
showcased extraordinary abilities in performing a wide range of tasks. Such models are …
showcased extraordinary abilities in performing a wide range of tasks. Such models are …
Investigating symmetric soliton solutions for the fractional coupled konno–onno system using improved versions of a novel analytical technique
The present research investigates symmetric soliton solutions for the Fractional Coupled
Konno–Onno System (FCKOS) by using two improved versions of an Extended Direct …
Konno–Onno System (FCKOS) by using two improved versions of an Extended Direct …
A prospect theory-based MABAC algorithm with novel similarity measures and interactional operations for picture fuzzy sets and its applications
Picture fuzzy set (PFS) is one the reliable tool to handle the uncertainties in the data as
compared to the intuitionistic fuzzy set (IFS) or fuzzy set. PFS simultaneously handle the four …
compared to the intuitionistic fuzzy set (IFS) or fuzzy set. PFS simultaneously handle the four …
Abundant optical solitons to the (2+ 1)-dimensional Kundu-Mukherjee-Naskar equation in fiber communication systems
Abstract The Kundu-Mukherjee-Naskar equation holds significant relevance as a nonlinear
model for investigating intricate wave phenomena in fluid and optical systems. This study …
model for investigating intricate wave phenomena in fluid and optical systems. This study …
The emergence of density functional theory for supercapacitors: Recent progress and advances
Supercapacitors (SCs) are emerging energy storage devices for commercialized purposes
due to their high–power density, extended life cycle, environmental friendliness, and cost …
due to their high–power density, extended life cycle, environmental friendliness, and cost …
OCRUN: An oppositional Runge Kutta optimizer with cuckoo search for global optimization and feature selection
M Zhang, H Chen, AA Heidari, Z Cai, NO Aljehane… - Applied Soft …, 2023 - Elsevier
The recently proposed swarm intelligence algorithm, Runge–Kutta Optimization (RUN), is
rooted in the fourth-order Runge–Kutta method. Compared with its counterparts, RUN …
rooted in the fourth-order Runge–Kutta method. Compared with its counterparts, RUN …
User requirements analysis of new energy vehicles based on improved Kano model
Y Yang, Q Li, C Li, Q Qin - Energy, 2024 - Elsevier
The ever-changing market demand accelerates the iterative upgrading of new energy
vehicles, making understanding user requirements crucial for optimizing product strategies …
vehicles, making understanding user requirements crucial for optimizing product strategies …