Browsing Computer Science by Title
Now showing items 174-193 of 549
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EXPECTATION: Personalized explainable artificial intelligence for decentralized agents with heterogeneous knowledge
(Springer, 2021)Explainable AI (XAI) has emerged in recent years as a set of techniques and methodologies to interpret and explain machine learning (ML) predictors. To date, many initiatives have been proposed. Nevertheless, current ... -
Experimental studies on chemical concentration map building by a multi-robot system using bio-inspired algorithms
(Springer Science+Business Media, 2014-01)In this article we describe implementations of various bio-inspired algorithms for obtaining the chemical gas concentration map of an environment filled with a contaminant. The experiments are performed using Khepera III ... -
Explain to me: Towards understanding privacy decisions
(International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2023)Privacy assistants help users manage their privacy online. Their tasks could vary from detecting privacy violations to recommending sharing actions for content that the user intends to share. Recent work on these tasks are ... -
Explanation-based negotiation protocol for nutrition virtual coaching
(ACM, 2023)People’s awareness about the importance of healthy lifestyles is rising. This opens new possibilities for personalized intelligent health and coaching applications. In particular, there is a need for more than simple ... -
Exploration with intrinsic motivation using object–action–outcome latent space
(IEEE, 2023-06)One effective approach for equipping artificial agents with sensorimotor skills is to use self-exploration. To do this efficiently is critical, as time and data collection are costly. In this study, we propose an exploration ... -
Exploring scaling efficiency of intel loihi neuromorphic processor
(IEEE, 2023)In this paper, we focus on examining how scaling efficiency evolves in winner-take-all (WTA) network models on Intel Loihi neuromorphic processor, as network-related features such as network size, neuron type, and connectivity ... -
Extending static code analysis with application-specific rules by analyzing runtime execution traces
(Springer International Publishing, 2016)Static analysis tools cannot detect violations of application-specific rules. They can be extended with specialized checkers that implement the verification of these rules. However, such rules are usually not documented ... -
Extraction of novel features based on histograms of MFCCs used in emotion classification from generated original speech dataset
This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from ... -
Extraction of novel features based on histograms of mfccs used in emotion classification from generated original speech dataset
(Kauno Technologijos Universitetas, 2020-02-17)This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from ... -
FAS: introducing a service for avoiding faults in composite services
(Springer Science+Business Media, 2012)In service-oriented architectures, composite services depend on a set of partner services to perform the required tasks. These partner services may become unavailable due to system and/or network faults, leading to an ... -
Fashion image retrieval with capsule networks
(IEEE, 2019)In this study, we investigate in-shop clothing retrieval performance of densely-connected Capsule Networks with dynamic routing. To achieve this, we propose Triplet-based design of Capsule Network architecture with two ... -
Fast and efficient implementation of lightweight crypto algorithm PRESENT on FPGA through processor instruction set extension
(IEEE, 2019)As Internet of Things (IoT) technology becomes widespread, the importance of information security increases. PRESENT algorithm is a major lightweight symmetric-key encryption algorithm for IoT devices. Compared to the ... -
Fast and efficient terrain-aware motion planning for exploration rovers
(IEEE, 2021)This paper presents a fast, energy-efficient, and low computational cost traversal solution on sloped terrain. The use of grid-based search algorithms requires high computational power and takes a long time because almost ... -
A fast circuit topology for finding the maximum of n k-bit numbers
(IEEE, 2013)Finding the value and/or address (position) of the maximum element of a set of binary numbers is a fundamental arithmetic operation. Numerous systems, which are used in different application areas, require fast (low-latency) ... -
Fast one- and two-pick fixed-priority selection and muxing circuits
(IEEE, 2016)Priority encoders and arbiters usually drive multiplexers (muxes). Latency optimization of priority encoders and multiplexer trees has usually been handled separately in the literature. However, in some applications with ... -
Fault masking as a service
(Wiley, 2014-07)In SOA, composite services depend on a set of partner services to perform their tasks. These partner services may become unavailable because of system and/or network faults, leading to an increased error rate for the ... -
Fault masking as a service
(2013-01)In service-oriented architectures, composite services depend on a set of partner services to perform their tasks. These partner services may become unavailable due to system and/or network faults, leading to an increased ... -
Feature extraction for enhancing data-driven urban building energy models
(European Council on Computing in Construction (EC3), 2023)Building energy demand assessment plays a crucial role in designing energy-efficient building stocks. However, most studies adopting a data-driven approach feel the deficiency of datasets with building-specific information ... -
Feature-based rationale management system for supporting software architecture adaptation
(World Scientific Publishing Co., 2012-11)Each software architecture design is the result of a broad set of design decisions and their justifications, that is, the design rationale. Capturing the design rationale is important for a variety of reasons such as ... -
FedADC: Accelerated federated learning with drift control
(IEEE, 2021)Federated learning (FL) has become de facto framework for collaborative learning among edge devices with privacy concern. The core of the FL strategy is the use of stochastic gradient descent (SGD) in a distributed manner. ...
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