Advancements in Artificial Intelligence Circuits and Systems (AICAS)
In the rapidly evolving landscape of electronics, Artificial Intelligence Circuits and Systems
(AICAS) stand out as a groundbreaking frontier. This review provides an exhaustive …
(AICAS) stand out as a groundbreaking frontier. This review provides an exhaustive …
IoT-based waste segregation with location tracking and air quality monitoring for smart cities
AK Lingaraju, M Niranjanamurthy, P Bose, B Acharya… - Smart Cities, 2023 - mdpi.com
Massive human population, coupled with rapid urbanization, results in a substantial amount
of garbage that requires daily collection. In urban areas, garbage often accumulates around …
of garbage that requires daily collection. In urban areas, garbage often accumulates around …
Deep-learning-based network for lane following in autonomous vehicles
The research field of autonomous self-driving vehicles has recently become increasingly
popular. In addition, motion-planning technology is essential for autonomous vehicles …
popular. In addition, motion-planning technology is essential for autonomous vehicles …
A novel deep learning-based cooperative communication channel model for wireless underground sensor networks
K Radhakrishnan, D Ramakrishnan, OI Khalaf… - Sensors, 2022 - mdpi.com
Wireless Underground Sensor Networks (WUSNs) have been showing prospective
supervising application domains in the underground region of the earth through sensing …
supervising application domains in the underground region of the earth through sensing …
H2H: heterogeneous model to heterogeneous system mapping with computation and communication awareness
The complex nature of real-world problems calls for heterogeneity in both machine learning
(ML) models and hardware systems. The heterogeneity in ML models comes from multi …
(ML) models and hardware systems. The heterogeneity in ML models comes from multi …
A shallow neural network approach for the short-term forecast of hourly energy consumption
The forecasts of electricity and heating demands are key inputs for the efficient design and
operation of energy systems serving urban districts, buildings, and households. Their …
operation of energy systems serving urban districts, buildings, and households. Their …
Classification of heart sounds using chaogram transform and deep convolutional neural network transfer learning
A Harimi, Y Majd, AA Gharahbagh, V Hajihashemi… - Sensors, 2022 - mdpi.com
Heart sounds convey important information regarding potential heart diseases. Currently,
heart sound classification attracts many researchers from the fields of telemedicine, digital …
heart sound classification attracts many researchers from the fields of telemedicine, digital …
TLI-YOLOv5: a lightweight object detection framework for transmission line inspection by unmanned aerial vehicle
H Huang, G Lan, J Wei, Z Zhong, Z Xu, D Li, F Zou - Electronics, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs) have become an important tool for transmission line
inspection, and the inspection images taken by UAVs often contain complex backgrounds …
inspection, and the inspection images taken by UAVs often contain complex backgrounds …
Sea-surface target visual tracking with a multi-camera cooperation approach
J Rao, K Xu, J Chen, J Lei, Z Zhang, Q Zhang… - Sensors, 2022 - mdpi.com
Cameras are widely used in the detection and tracking of moving targets. Compared to
target visual tracking using a single camera, cooperative tracking based on multiple …
target visual tracking using a single camera, cooperative tracking based on multiple …
Occupancy estimation in smart buildings using predictive modeling in imbalanced domains
This paper introduces a novel approach for occupancy estimation in smart buildings. In
particular, we focus on the challenging yet common situation where the amount of training …
particular, we focus on the challenging yet common situation where the amount of training …