Abstract: In low-visibility scenes, image enhancement is a crucial pre-processing step for many computer vision applications. We develop a unified two-pathway model inspired by biological vision, especially early visual mechanisms, to enhance images using low…
Abstract: Sparse coding excels in image processing. Since sparse coding is NP-hard, there is no image patch/group sparsity benchmark. This rank minimization-based work fills the gap. We first design an adaptive dictionary to bridge group-based…
Abstract: Understanding brain functions requires digital reconstruction or tracing of 3D neurons. Existing automatic tracing algorithms work well for a clean neuronal image with a single neuron but not for a neuron surrounded by nerve…
Abstract: The diagnosis and treatment of prostate diseases, especially prostate cancer, depend on accurate and reliable prostate gland segmentation using magnetic resonance (MR) imaging. Due to image appearance variability, imaging interference, and anisotropic spatial resolution,…
Abstract: Multi-UAV passive localization via received signal strength (RSS) is crucial for rescue and battlefield combat. This UAV-enabled application faces a major challenge: UAV energy consumption. Communication overhead usually affects energy consumption. To solve this,…
Abstract: Emergency Messages (EMs) broadcast between vehicles via Vehicular Ad hoc Networks (VANETs) can reduce traffic accidents. VANETs’ high mobility and wireless signal attenuation make EM transmission difficult. The chosen next-hop vehicle may have driven…
Abstract: Vehicle ad hoc networks (VANETs) offer advanced services that require vehicles to perform complex computing tasks that may not be completed within a delay limit. VANET typically improves service performance by offloading tasks to…
Abstract: Green Vehicular Ad-hoc Network (VANET) research reduces the environmental impact of vehicular communication equipment. Recent studies have shown that clustering vehicles for green communications in VANETs can significantly improve networking efficiency and reduce infrastructure…
Abstract: An unmanned aerial vehicle (UAV)-assisted wireless network collects data from ground sensor nodes (SN) and transfers it to a depot. Age of information (AoI) and UAV energy consumption are performance metrics. Most importantly, decreasing…
Abstract: A dual-hop relaying network with an untrustworthy energy-constrained amplify-and-forward relay is examined for secrecy outage performance. Destination-based jamming prevents the relay from decoding confidential source messages. Three relay-powering time switching-based wireless energy transfer strategies…
Abstract: Pesticide lamps Pest control using ILs-IoTs for green agriculture has garnered attention. If fixed on the ground, ILs-IoTs cannot solve the migratory pest outbreak. In this project, we embed ILs in unmanned aerial vehicles…
Abstract: Road accidents take many lives worldwide. VANETs are the ultimate solution to this problem. VANET vehicular nodes must communicate efficiently due to their high mobility and varied network topology. Clustering improves VANET communication. Thus,…
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