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Found 16 papers, 0 papers with code
Computational models of object motion detectors accelerated using FPGA technology
This PhD research introduces three key contributions in the domain of object motion detection: Multi-Hierarchical Spiking Neural Network (MHSNN): A specialized four-layer Spiking Neural Network (SNN) architecture inspired by vertebrate retinas.
Mitigating Adversarial Attacks in Deepfake Detection: An Exploration of Perturbation and AI Techniques
Deep learning constitutes a pivotal component within the realm of machine learning, offering remarkable capabilities in tasks ranging from image recognition to natural language processing.
Dynamic Training of Liquid State Machines
The experimental results showed that by using spike metrics and a range of weights, the desired output and the actual output of spiking neurons could be effectively optimised, leading to improved performance of SNNs.
Multi-Objective Optimization Approach Using Deep Reinforcement Learning for Energy Efficiency in Heterogeneous Computing System
The growing demand for optimal and low-power energy consumption paradigms for Internet of Things (IoT) devices has garnered significant attention due to their cost-effectiveness, simplicity, and intelligibility.
Secure Video Streaming Using Dedicated Hardware
Results: The proposed system successfully addresses the challenges of security, scalability, and efficiency in an IoT system used for surveillance and monitoring.
Benchmarking Edge Computing Devices for Grape Bunches and Trunks Detection using Accelerated Object Detection Single Shot MultiBox Deep Learning Models
The efficiency of the Tensor Processing Unit (TPU) is irrelevant and similar to NVIDIA Jetson TX2.
Exploiting High Quality Tactile Sensors for Simplified Grasping
We further demonstrate that, due to the high performance of the fingertips, a complex adaptive grasping algorithm is not required for grasping of everyday objects.
Estimating the Power Consumption of Heterogeneous Devices when performing AI Inference
Modern-day life is driven by electronic devices connected to the internet.
Towards Achieving Thermal Comfort through Physiologically Cloud based controlled HVAC System
Recent studies have shown that thermal comfort in a shared space is difficult to achieve due to individual preferences and the inability of occupants to reach a thermal compromise on temperature set points.
Deep Learning approach for Classifying Trusses and Runners of Strawberries
The use of artificial intelligence in the agricultural sector has been growing at a rapid rate to automate farming activities.
Real-Time Gesture Recognition with Virtual Glove Markers
Due to the universal non-verbal natural communication approach that allows for effective communication between humans, gesture recognition technology has been steadily developing over the previous few decades.
NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector
Vertebrate retinas are highly-efficient in processing trivial visual tasks such as detecting moving objects, yet a complex challenges for modern computers.
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
The detection of moving objects is a trivial task performed by vertebrate retinas, yet a complex computer vision task.
Object recognition for robotics from tactile time series data utilising different neural network architectures
Robots need to exploit high-quality information on grasped objects to interact with the physical environment.
Strawberry Detection Using a Heterogeneous Multi-Processor Platform
Over the last few years, the number of precision farming projects has increased specifically in harvesting robots and many of which have made continued progress from identifying crops to grasping the desired fruit or vegetable.
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images
Biological image processing is performed by complex neural networks composed of thousands of neurons interconnected via thousands of synapses, some of which are excitatory and others inhibitory.
