Parcourir par sujet "State of the art"
Voici les éléments 1-20 de 41
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ACCURATE AND RESOURCE-EFFICIENT LIPREADING WITH EFFICIENTNETV2 AND TRANSFORMERS
(2022)We present a novel resource-efficient end-to-end architecture for lipreading that achieves state-of-the-art results on a popular and challenging benchmark. In particular, we make the following contributions: First, inspired ... -
Assesement And Integrated Steam In Engineering Education
(2022)To justify the implementation of the integrated/holistic STEAM approach, theoretical considerations propose that assessment must be designed in order to evaluate students' engagement not only in core ideas but also in their ... -
Blockchain State Channels: A State of the Art
(2021)Blockchain technology has been quite popular during recent years and it finally seems to present a significant rise with respect to its use for real-world applications. This advancement has brought up a critical challenge ... -
Blockchain technology in food supply chain: A state of the art
(2021)The food industry is highly dependent upon food supply chains. It is highly critical for the quality of the food product that reaches the consumer, that all actors that interact with the corresponding supply chains act ... -
Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation
(2022)Motivated by the brainstorming process of human beings, a novel learning Fuzzy Cognitive Map (FCM) model named Brainstorming Fuzzy Cognitive Map (BFCM) is proposed. The proposed model is based on a state-of-the-art ... -
BUFET: Boosting the unbiased miRNA functional enrichment analysis using bitsets
(2017)Background: A group of miRNAs can regulate a biological process by targeting genes involved in the process. The unbiased miRNA functional enrichment analysis is the most precise in silico approach to predict the biological ... -
Classification of pathological human brain lesions using magnetic resonance spectroscopy at 3T
(2009)Magnetic Resonance Spectroscopy is a powerful non-invasive diagnostic tool that is used in conjunction with MRI techniques to provide identification and quantification of biologically important compounds in soft tissue. ... -
Data Flow Obfuscation: A New Paradigm for Obfuscating Circuits
(2021)In this article, unlike almost all state-of-The-Art obfuscation solutions that focus on functional/logic obfuscation, we introduce a new paradigm, called data flow obfuscation, which exploits the essence of asynchronicity. ... -
Deep affordance-grounded sensorimotor object recognition
(2017)It is well-established by cognitive neuroscience that human perception of objects constitutes a complex process, where object appearance information is combined with evidence about the so-called object “affordances”, namely ... -
A deep learning approach for anthracnose infected trees classification in walnut orchards
(2021)This paper presents a novel approach for the detection of disease-infected leaves on trees with the use of deep learning. Focus of this study was to build an accurate and fast object detection system that can identify ... -
Demonstration of a video-aware multicast opportunistic routing protocol over 802.11 two-hop mesh networks
(2014)In this demo paper, we demonstrate and evaluate a novel Opportunistic Routing (OR) protocol for video multicast, namely Video-aware Multicast Opportunistic Routing (ViMOR), over 802.11 two-hop mesh networks. OR exploits ... -
Double chain-star: An RDF indexing scheme for fast processing of SPARQL joins
(2016)State of the art RDF stores often rely on exhaustive indexing and sequential (self-)joins for SPARQL query processing. However, query execution is dependent on, and often limited by the underlying storage and indexing ... -
Efficient Cloud Provisioning for Video Transcoding: Review, Open Challenges and Future Opportunities
(2018)Video transcoding is the process of encoding an initial video sequence into multiple sequences of different bitrates, resolutions, and video standards, so that it can be viewed on devices of various capabilities and with ... -
Explainable Classification of Weakly Annotated Wireless Capsule Endoscopy Images Based on a Fuzzy Bag-of-Colour Features Model and Brain Storm Optimization
(2021)Wireless capsule endoscopy (WCE) constitutes a medical imaging technology developed for the endoscopic exploration of the gastrointestinal (GI) tract, whereas it provides a more comfortable examination method, in comparison ... -
Exploiting 3D Hand Pose Estimation in Deep Learning-Based Sign Language Recognition from RGB Videos
(2020)In this paper, we investigate the benefit of 3D hand skeletal information to the task of sign language (SL) recognition from RGB videos, within a state-of-the-art, multiple-stream, deep-learning recognition system. As most ... -
Extended characteristic sets: Graph indexing for SPARQL Query Optimization
(2017)SPARQL query execution in state of the art RDF engines depends on, and is often limited by the underlying storage and indexing schemes. Typically, these systems exhaustively store permutations of the standard three-column ... -
i-WABA: An efficient wavelengths arrangement and bandwidth allocation WDMA protocol for passive optical intra-rack data center networks
(2022)In this article, we effectively handle the continuously growing traffic within data centers (DCs) and we focus on the intra-rack communication. We propose a passive optical intra-rack DC network (DCN) that uses a set of ... -
Image Segmentation based on Determinative Brain Storm optimization
(2020)Brain Storm optimization (BSO) is a swarm-based, metaheuristic for global optimization, which has been inspired by the collective behavior of human beings. In this work, a novel BSO-based variant, Determinative BSO (DBSO), ... -
The Impact of CPU Voltage Margins on Power-Constrained Execution
(2022)CPUs typically operate at a voltage which is higher than what is strictly required, using voltage margins to account for process variability and anticipate any combination of adverse operating conditions. However, these ... -
Implementation and end-to-end throughput evaluation of an IEEE 802.11 compliant version of the enhanced-backpressure algorithm
(2012)Extensive work has been done in wireless multihop routing with several ideas based on shortest path or load balancing routing algorithms, that aim at minimizing end-to-end delay or maximizing throughput respectively. ...