Showing 1-25 of 4,481 resultsfor "Index Terms":Computational Challenges
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Computationally Efficient Approximation Algorithm of Dominance Based Rough Set Approach
2020 22nd International Conference on Advanced Communication Technology (ICACT)
Year: 2020 | Conference Paper |
Cited by: Papers (1)
Information systems contain preference ordered decision attributes now a day. To deal with them Dominance based Rough Set Approach (DRSA) is used. Two important concepts in DRSA are upper and lower approximations, both of them are computationally heavy algorithms. Reduction in its computational complexity helps in many advance applications of DRSA. Our proposed algorithm reduces its complexity by ...Show More
Image-based representation and modeling of spatiotemporal cell dynamics
2013 IEEE 10th International Symposium on Biomedical Imaging
Year: 2013 | Conference Paper |
Cited by: Papers (1)
Successful completion of dynamic cellular processes ranging from intracellular transport to embryonic development depends critically on precise spatial and temporal coordination of the molecules and cells involved. Understanding spatiotemporal behaviors of these molecules and cells is therefore essential to understanding mechanisms of their associated cellular processes. Over the past two decades,...Show More
Enhancing Gaussian Mixture Model Efficiency Through Covariance Matrix Optimization, Singular Value Decomposition, and Block Toeplitz Matrices
2024 9th International Conference on Communication and Electronics Systems (ICCES)
Year: 2024 | Conference Paper |
Gaussian Mixture Models (GMMs) are widely used for clustering, density estimation, and pattern recognition. Despite their versatility, GMMs often face computational challenges, particularly when dealing with large datasets or high-dimensional spaces. To address these issues, an approach is proposed to enhance the efficiency of GMMs by integrating covariance matrix optimization, Singular Value Deco...Show More
Big Data issues in Computational Chemistry
2014 International Conference on Future Internet of Things and Cloud
Year: 2014 | Conference Paper |
Cited by: Papers (4)
Digital data have become a torrent engulfing every area of business, science and engineering disciplines. In the age of Big Data, deriving values and insights from large amounts of data using rich analytics becomes an important differentiating capability for competitiveness, success and leadership in every field. Scientists and engineers of many different domains are increasingly clamouring for me...Show More
A Survey on Integration of Blockchain and IoT (BIoT): Open Issues, Challenges & Solution
Chirag Garg;Deepak Kumar Mishra;Dikshant Raj;Pawan Singh Mehra
2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
Blockchain and IoT are becoming the buzzwords in the tech world. Blockchain in itself is a very vast topic with various applications and uses but it has its fair share of challenges. Since IoT consists of a vast number of devices, from batterypowered devices with less computational resources to powerful machines, connected over a network it also has hurdles with various barriers. But this paper pr...Show More
The 3rd Grand Challenge of Lightweight 106-Point Facial Landmark Localization on Masked Faces
Mingcan Xiang;Yinglu Liu;Tingting Liao;Xiangyu Zhu;Can Yang;Wu Liu;Hailin Shi
2021 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)
Year: 2021 | Conference Paper |
Cited by: Papers (3)
Facial landmark localization is a fundamental component in various face related applications, such as face recognition, 3D face reconstruction, facial pose estimation, face synthesis and forensics, etc. However, due to the global pandemic of COVID-19, the facial mask has become a common way to suppress the transmission of the virus. This apparently makes conventional facial landmark localization u...Show More
In-silico analysis of the “memory anti-Naïve” effect in anti-viral cross-reactive responses
2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2017 | Conference Paper |
Of the examples of clonal competition for antigen among lymphocytes, the recently predicted “Memory anti-Naïve” phenomenon occurs when the challenging antigen is not identical to the priming, and will be consequently bound with lower avidity by preexisting memory cells. In this study we use computer modeling and a systematic schedule of viral injections to disentangle the complex relationship betw...Show More
Modeling the Induction of Psychosocial Stress in Virtual Reality Simulations
2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
Year: 2021 | Conference Paper |
During the last few years, a wide number of virtual reality applications dealing with psychosocial stress have emerged. However, our current understanding of stress and psychosocial stress in virtual reality hinders our ability to finely control stress induction. In my PhD project I plan to develop a computational model which will describe the respective impact of each factor inducing psychosocial...Show More
The Complexity of Finding Multiple Solutions to Betweenness and Quartet Compatibility
We show that two important problems that have applications in computational biology are ASP-complete, which implies that, given a solution to a problem, it is NP-complete to decide if another solution exists. We show first that a variation of Betweenness>, which is the underlying problem of questions related to radiation hybrid mapping, is ASP-complete. Subsequently, we use that result to show tha...Show More
Computational Intelligence and Emerging Data Technologies
2010 International Conference on Intelligent Networking and Collaborative Systems
Year: 2010 | Conference Paper |
Cited by: Papers (2)
This article re-visits the foundation concepts of Computational Intelligence in relation to the established field of Artificial Intelligence and describes an emerging data technology, Formal Concept Analysis, that can contribute to the topic. Technologies from Artificial Intelligence are briefly considered in relation to the need for improved knowledge representation and accessibility rather than ...Show More
Computational Web intelligence and granular Web intelligence for Web uncertainty
2005 IEEE International Conference on Granular Computing
Year: 2005 | Conference Paper |
This paper presents a general overview of basic techniques of computational Web intelligence and granular Web intelligence for Web applications with uncertainty. Web uncertainty has different types such as Web probability, Web fuzziness, Web randomness, etc. A granular set, a general set for dealing with uncertainty, is defined to handle Web data uncertainty. The future work on hybrid Web intellig...Show More
Modeling Solar Cell Performance at High Temperatures: A Validation Study of Theoretical Equations and Computational Simulations
Razan El Kassar;Ahmad Al Takash;Adie Msadi;Wassim Salameh;Assadour Khanjian
2023 Fifth International Conference on Advances in Computational Tools for Engineering Applications (ACTEA)
Year: 2023 | Conference Paper |
As the demand for solar renewable energies grows globally, researchers' goal has always been to develop low-cost, high-efficiency cells, knowing that higher panel temperatures lead to poor conversion performance and decreased long-term reliability, posing a well-known challenge in the field of photovoltaics. This study employed both theoretical and computational methodologies to investigate the re...Show More
Reinforced iLQR: A Sample-Efficient Robot Locomotion Learning
2021 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2021 | Conference Paper |
Cited by: Papers (9)
Robot locomotion is a major challenge in robotics. Model-based approaches are vulnerable to model errors, and incur high computation overhead resulted from long control horizon. Model-free approaches are trained with a large number of training samples, which are expensive to obtain. In this paper, we develop a hybrid control and learning framework, called Reinforced iLQR (RiLQR), which combines th...Show More
Full Annulus High Fidelity Fan and Compressor Simulations
2009 DoD High Performance Computing Modernization Program Users Group Conference
Year: 2009 | Conference Paper |
Cited by: Papers (1)
Challenge Project C3L supports research efforts to design distortion tolerant fans and accurately predict the inlet conditions to the core compressor of gas turbine engines. The technical approach and computational challenges associated with the Challenge Project are presented. The simulations run have produced critical understanding that allows design and performanceprediction tools to be improve...Show More
Advancements in Deep Learning-Based Optical Flow Estimation: A Comprehensive Review of Models and Techniques
2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS)
Year: 2024 | Conference Paper |
Optical flow estimation is a fundamental task in computer vision as it plays a pivotal role in numerous applications, including but not limited to motion analysis, video compression, and object tracking. Traditional methods for optical flow estimation often face challenges in handling complex motion patterns and variations in scene structure. In recent years, deep learning has emerged as a powerfu...Show More
Toward Low-Resource Languages Machine Translation: A Language-Specific Fine-Tuning With LoRA for Specialized Large Language Models
Xiao Liang;Yen-Min Jasmina Khaw;Soung-Yue Liew;Tien-Ping Tan;Donghong Qin
In the field of computational linguistics, addressing machine translation (MT) challenges for low-resource languages remains crucial, as these languages often lack extensive data compared to high-resource languages. General large language models (LLMs), such as GPT-4 and Llama, primarily trained on monolingual corpora, face significant challenges in translating low-resource languages, often result...Show More
Optimal Resource Allocation for Scalable Mobile Edge Computing
IEEE Communications Letters
Cited by: Papers (16)
In this letter, we would like to investigate the optimal tradeoff between user experience and consumptions of communications and computation resources in designing mobile edge computing (MEC) systems. First, we propose a novel computation task model, where each computation task is scalable with different service levels, corresponding to different user experiences (i.e., utilities) and consumptions...Show More
Parallel Computing Implementation of Marine Heat Waves Detection
Ade Rachmat J. Pangestu;Riski Kurniawan;I Wayan Aditya Swardiana;Abdurrouf;Arnida L. Latifah
2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA)
Year: 2023 | Conference Paper |
Marine heat waves (MHW) are anomaly increases in sea surface temperature that can negatively impact marine life, such as the mass death of marine creatures. Therefore, MHW detection is required to determine areas whose high potential risk for MHW. Extreme event detection, such as MHW, is a computing challenge as it is costly and needs huge memory. Basically, MHW detection is calculated individuall...Show More
In this study, the evolution of GPU architectures across multiple generations is explored, focusing on their computational performance and energy efficiency. Using a systematic literature review and comparative analysis, this study examines key advancements in GPU technology, particularly in AI workloads, ray tracing, gaming, and scientific simulations. The analysis reveals that modern GPUs, such ...Show More
Benchmarking to close the credibility gap: A computational BioEM benchmark suite
2016 URSI International Symposium on Electromagnetic Theory (EMTS)
Year: 2016 | Conference Paper |
Cited by: Papers (9)
The dearth of verification, validation, and performance benchmarks is identified as a roadblock to further progress in computational electromagnetics. The necessary ingredients for a useful benchmark suite are an application-specific list of problems, reference solutions, performance (error and computational cost) measures, and online databases publicizing comparisons. Computational cost compariso...Show More
Dynamic difficulty adjustment realization based on adaptive neuro-controlled game opponent
Third International Workshop on Advanced Computational Intelligence
Year: 2010 | Conference Paper |
Cited by: Papers (2)
Game players of different skills expect different challenge levels in game to be filled with enjoyment and fulfillment. Thus intelligent game opponent can be made adaptive to match different player strategies and different player skills. Traditional difficulty adjustment setting the status of the opponent often fills players with a feeling of being cheated, which cannot perfectly satisfy the playe...Show More
Leveraging Semantic Analysis in Machine Learning for Addressing Unstructured Challenges in Education
Said Saidakhrarovich Gulyamov;Rabim Alikulovich Fayziev;Andrey Aleksandrovich Rodionov;Georgiy Andreevich Jakupov
2023 3rd International Conference on Technology Enhanced Learning in Higher Education (TELE)
Year: 2023 | Conference Paper |
Cited by: Papers (10)
The present study explores the role of semantic analysis in machine learning for addressing unstructured challenges in education. Through a comparative analysis and literature review, various semantic analysis techniques and machine learning algorithms were investigated, examining their effectiveness and the factors influencing their success in educational contexts. The findings demonstrate that a...Show More
Temporal Memory Attention for Video Semantic Segmentation
2021 IEEE International Conference on Image Processing (ICIP)
Year: 2021 | Conference Paper |
Cited by: Papers (43)
Video semantic segmentation requires to utilize the complex temporal relations between frames of the video sequence. Previous works usually exploit accurate optical flow to leverage the temporal relations, which suffer much from heavy computational cost. In this paper, we propose a Temporal Memory Attention Network (TMANet) to adaptively integrate the long-range temporal relations over the video s...Show More
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