Advancements in Artificial Intelligence Circuits and Systems (AICAS)

T Miller, I Durlik, E Kostecka, P Mitan-Zalewska… - Electronics, 2023 - mdpi.com
In the rapidly evolving landscape of electronics, Artificial Intelligence Circuits and Systems
(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 …

Deep-learning-based network for lane following in autonomous vehicles

A Khanum, CY Lee, CS Yang - Electronics, 2022 - mdpi.com
The research field of autonomous self-driving vehicles has recently become increasingly
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 …

H2H: heterogeneous model to heterogeneous system mapping with computation and communication awareness

X Zhang, C Hao, P Zhou, A Jones, J Hu - … of the 59th ACM/IEEE Design …, 2022 - dl.acm.org
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 …

A shallow neural network approach for the short-term forecast of hourly energy consumption

A Manno, E Martelli, E Amaldi - Energies, 2022 - mdpi.com
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 …

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 …

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 …

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 …

Occupancy estimation in smart buildings using predictive modeling in imbalanced domains

J Guo, M Amayri, F Najar, W Fan… - Journal of Ambient …, 2023 - Springer
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 …