SwinWave-SR: Multi-scale lightweight underwater image super-resolution

FA Dharejo, II Ganapathi, M Zawish, B Alawode… - Information …, 2024 - Elsevier
The resource-limited nature of underwater vision equipment leads to poor, otherwise low-
resolution information affecting the downstream underwater robotics and ocean engineering …

Energy-aware AI-driven framework for edge-computing-based IoT applications

M Zawish, N Ashraf, RI Ansari… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The significant growth in the number of Internet of Things (IoT) devices has given impetus to
the idea of edge computing for several applications. In addition, energy harvestable or …

Transfer learning-based quantized deep learning models for nail melanoma classification

M Hussain, M Fiza, A Khalil, AA Siyal… - Neural Computing and …, 2023 - Springer
Skin cancer, particularly melanoma, has remained a severe issue for many years due to its
increasing incidences. The rising mortality rate associated with melanoma demands …

[HTML][HTML] Sustainable AI-Based Production Agriculture: Exploring AI Applications and Implications in Agricultural Practices

AA Mana, A Allouhi, A Hamrani, S Rahman… - Smart Agricultural …, 2024 - Elsevier
In general, agriculture plays a crucial role in human survival as a primary source of food,
alongside other sources such as fishing. Unfortunately, global warming and other …

Towards resource-aware DNN partitioning for edge devices with heterogeneous resources

M Zawish, L Abraham, K Dev… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
Collaborative deep neural network (DNN) inference over edge and cloud is emerging as an
effective approach for enabling several Internet of Things (IoT) applications. Edge devices …

Consumer-Centric Insights into Resilient Small Object Detection: SCIoU Loss and Recursive Transformer Network

L Wang, Y Shi, G Mao, FA Dharejo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As an emerging consumer electronic product, the use of unmanned aerial vehicle (UAV) for
a variety of tasks has received growing attention and favor in the enterprise or individual …

A Comparative Study of MobileNet Architecture Optimizer for Crowd Prediction

M Naufal, EY Hidayat - Jurnal Informatika: Jurnal …, 2023 - ejournal.poltekharber.ac.id
Artificial intelligence technology has grown quickly in recent years. Convolutional neural
network (CNN) technology has also been developed as a result of these developments …

Multi-agent deep reinforcement learning-based task scheduling and resource sharing for O-RAN-empowered multi-UAV-assisted wireless sensor networks

ML Betalo, S Leng, HN Abishu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) with ultra-dense sensors are crucial for several industries,
such as smart agricultural systems deployed in the fifth generation (5G) and beyond 5G …