Browsing Computer Science by Title
Now showing items 155-174 of 549
-
Effects of agent's embodiment in human-agent negotiations
(ACM, 2023-09-19)Human-agent negotiation has recently attracted researchers’ attention due to its complex nature and potential usage in daily life scenarios. While designing intelligent negotiating agents, they mainly focus on the interaction ... -
Efficient combinational circuits for division by small integer constants
(IEEE, 2016)Division of an integer by an integer constant is a widely used operation and hence justifies a customized efficient implementation. There are various versions of this operation. This paper attacks a particular version of ... -
Effort estimation for architectural refactoring of data tier software
(IEEE, 2022)Architectural refactoring requires substantial effort. We introduce an approach and a tool to predict this effort prior to refactoring. We focus on PL/SQL programs that are developed as data access tiers of business software. ... -
Effort estimation for architectural refactoring to introduce module isolation
(Springer, 2014)The decomposition of software architecture into modular units is driven by both functional and quality concerns. Dependability and security are among quality concerns that require a software to be decomposed into separate ... -
Eigenvoice speaker adaptation with minimal data for statistical speech synthesis systems using a MAP approach and nearest-neighbors
(IEEE, 2014-12)Statistical speech synthesis (SSS) systems have the ability to adapt to a target speaker with a couple of minutes of adaptation data. Developing adaptation algorithms to further reduce the number of adaptation utterances ... -
Eklemeli̇ di̇ller i̇çi̇n düşük bellekli̇ melez i̇stati̇sti̇ksel/bi̇ri̇m seçmeli̇ MKS si̇stemi̇
(IEEE, 2012)The HMM-based TTS (HTS) approach has been increasingly getting more attention from the TTS research community. One of the advantage is the lack of spurious errors that are observed in the unit selection scheme. Another ... -
Emergent emotion via neural computational energy conservation on a humanoid robot
(IEEE, 2013)This paper presents our initial work on how emotion based behaviors may emerge through computational mechanisms. We hold that in addition to basic emotions such as anger and fear that serves bodily well being of the organism, ... -
Emotion as an emergent phenomenon of the neurocomputational energy regulation mechanism of a cognitive agent in a decision-making task
(Sage, 2021-02)Biological agents need to complete perception-action cycles to perform various cognitive and biological tasks such as maximizing their wellbeing and their chances of genetic continuation. However, the processes performed ... -
Enabling difference-based dynamic partial self reconfiguration for large differences
(IEEE, 2013)This paper presents a new Dynamic Partial Self Reconfiguration (DPSR) flow for Xilinx FPGAs. Leveraging the Xilinx FPGA Editor and PlanAhead tools, we provide two implementation approaches that enable partial reconfiguration ... -
Enabling smart environments through scalable policy reasoning and Internet of Things
(Wiley, 2019-04)In this paper, we discuss how to combine ontology-based policy reasoning mechanisms with in-use Internet of Things applications to customize and automate device behaviors. We discuss how the policy framework can be extended ... -
Enhancing MPEG DASH performance via server and network assistance
(IEEE, 2017)MPEG-Dynamic Adaptive Streaming over HTTP (DASH) provides formats that are suitable to stream media content over HTTP. Typically, the DASH client adaptively requests small chunks of media based on the available bandwidth ... -
EPIoT: Enhanced privacy preservation based blockchain mechanism for internet-of-things
(Elsevier, 2024-01)With the increasing popularity of the Internet of things (IoT) and giving the end users the opportunity of collecting and analyzing the data by these IoT devices give rise to ultimate privacy concern and is attracting ... -
Evaluating software architecture erosion for PL/SQL programs
(The ACM Digital Library, 2017)PL/SQL procedures are grouped into packages for providing modularity. These procedures are indirectly coupled due to their use of common database tables. We define a cohesion metric and cluster PL/SQL procedures based on ... -
Evaluating the effectiveness of multi-level greedy modularity clustering for software architecture recovery
(Springer Nature, 2019)Software architecture recovery approaches mainly analyze various types of dependencies among software modules to group them and reason about the high-level structural decomposition of a system. These approaches employ a ... -
Evaluating the English-Turkish parallel treebank for machine translation
(TÜBİTAK, 2022)This study extends our initial efforts in building an English-Turkish parallel treebank corpus for statistical machine translation tasks. We manually generated parallel trees for about 17K sentences selected from the Penn ... -
Evaluating the performance of apple’s low-latency HLS
(IEEE, 2020-09-21)In its annual developers conference in June 2019, Apple has announced a backwards-compatible extension to its popular HTTP Live Streaming (HLS) protocol to enable low-latency live streaming. This extension offers new ... -
Evaluation of distributed machine learning algorithms for anomaly detection from large-scale system logs: a case study
(IEEE, 2018)Anomaly detection is a valuable feature for detecting and diagnosing faults in large-scale, distributed systems. These systems usually provide tens of millions of lines of logs that can be exploited for this purpose. ... -
Evaluation of linguistic and prosodic features for detection of Alzheimer’s disease in Turkish conversational speech
(Springer Science+Business Media, 2015-12)Automatic diagnosis and monitoring of Alzheimer’s disease can have a significant impact on society as well as the well-being of patients. The part of the brain cortex that processes language abilities is one of the earliest ... -
Evidential deep learning to quantify classification uncertainty
(Neural Information Processing Systems Foundation, 2018)Deterministic neural nets have been shown to learn effective predictors on a wide range of machine learning problems. However, as the standard approach is to train the network to minimize a prediction loss, the resultant ... -
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 ...
Share this page
