Search Results - "Rassau, Alexander"
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Advances in Metal Additive Manufacturing: A Review of Common Processes, Industrial Applications, and Current Challenges
Published in Applied sciences (01-02-2021)“…In recent years, Additive Manufacturing (AM), also called 3D printing, has been expanding into several industrial sectors due to the technology providing…”
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Review of Deep Learning Methods in Robotic Grasp Detection
Published in Multimodal technologies and interaction (01-09-2018)“…For robots to attain more general-purpose utility, grasping is a necessary skill to master. Such general-purpose robots may use their perception abilities to…”
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Impact of dynamic energy pricing schemes on a novel multi-user home energy management system
Published in Electric power systems research (01-08-2015)“…•Monitor and control household appliances based on a combination of energy prices.•Manage and schedule load priority of multi-users sharing a home and its…”
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An Investigation into Spike-Based Neuromorphic Approaches for Artificial Olfactory Systems
Published in Sensors (Basel, Switzerland) (10-11-2017)“…The implementation of neuromorphic methods has delivered promising results for vision and auditory sensors. These methods focus on mimicking the…”
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Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A Review
Published in Applied sciences (01-09-2023)“…The capabilities of autonomous mobile robotic systems have been steadily improving due to recent advancements in computer science, engineering, and related…”
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Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts
Published in Sensors (Basel, Switzerland) (01-01-2022)“…Current developments in artificial olfactory systems, also known as electronic nose (e-nose) systems, have benefited from advanced machine learning techniques…”
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Real-Time Classification of Multivariate Olfaction Data Using Spiking Neural Networks
Published in Sensors (Basel, Switzerland) (18-04-2019)“…Recent studies in bioinspired artificial olfaction, especially those detailing the application of spike-based neuromorphic methods, have led to promising…”
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A Hardware-Deployable Neuromorphic Solution for Encoding and Classification of Electronic Nose Data
Published in Sensors (Basel, Switzerland) (06-11-2019)“…In several application domains, electronic nose systems employing conventional data processing approaches incur substantial power and computational costs and…”
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A Sample Weight and AdaBoost CNN-Based Coarse to Fine Classification of Fruit and Vegetables at a Supermarket Self-Checkout
Published in Applied sciences (01-12-2020)“…The physical features of fruit and vegetables make the task of vision-based classification of fruit and vegetables challenging. The classification of fruit and…”
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Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification
Published in Sensors (Basel, Switzerland) (12-05-2020)“…Existing methods in neuromorphic olfaction mainly focus on implementing the data transformation based on the neurobiological architecture of the olfactory…”
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Application of Event Cameras and Neuromorphic Computing to VSLAM: A Survey
Published in Biomimetics (Basel, Switzerland) (20-07-2024)“…Simultaneous Localization and Mapping (SLAM) is a crucial function for most autonomous systems, allowing them to both navigate through and create maps of…”
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Texture-based latent space disentanglement for enhancement of a training dataset for ANN-based classification of fruit and vegetables
Published in Information processing in agriculture (01-03-2023)“…The capability of Convolutional Neural Networks (CNNs) for sparse representation has significant application to complex tasks like Representation Learning…”
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Structure‐Aware Image Translation‐Based Long Future Prediction for Enhancement of Ground Robotic Vehicle Teleoperation
Published in Advanced intelligent systems (01-10-2023)“…Predicting future frames through image‐to‐image translation and using these synthetically generated frames for high‐speed ground vehicle teleoperation is a new…”
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A comprehensive review of fruit and vegetable classification techniques
Published in Image and vision computing (01-12-2018)“…Recent advancements in computer vision have enabled wide-ranging applications in every field of life. One such application area is fresh produce…”
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Score-based mask edge improvement of Mask-RCNN for segmentation of fruit and vegetables
Published in Expert systems with applications (15-03-2022)“…Machine intelligence based automation plays a significant role in many modern applications, and vision based understanding is a significant element of this. To…”
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Impact of energy management system on the sizing of a grid-connected PV/Battery system
Published in The Electricity journal (01-03-2018)“…A genetic algorithm can be applied to optimize the sizing of a grid-connected hybrid photovoltaic/battery energy system deployed in conjunction with a home…”
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Class distribution-aware adaptive margins and cluster embedding for classification of fruit and vegetables at supermarket self-checkouts
Published in Neurocomputing (Amsterdam) (21-10-2021)“…•Class distribution-aware classification of complex and imbalanced datasets.•Adaptive classification margins for deep features in a hyper-dimensional feature…”
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Teleoperation methods and enhancement techniques for mobile robots: A comprehensive survey
Published in Robotics and autonomous systems (01-04-2022)“…In a world with rapidly growing levels of automation, robotics is playing an increasingly significant role in every aspect of human endeavour. In particular,…”
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A Review of Current Neuromorphic Approaches for Vision, Auditory, and Olfactory Sensors
Published in Frontiers in neuroscience (29-03-2016)“…Conventional vision, auditory, and olfactory sensors generate large volumes of redundant data and as a result tend to consume excessive power. To address these…”
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High Latency Unmanned Ground Vehicle Teleoperation Enhancement by Presentation of Estimated Future through Video Transformation
Published in Journal of intelligent & robotic systems (01-10-2022)“…Long-distance, high latency teleoperation tasks are difficult, highly stressful for teleoperators, and prone to over-corrections, which can lead to loss of…”
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