Jiahe Wang¹, Xizhan Gao^1,*, Fa Zhu², Xingchi Chen³

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 25-51, 2024, DOI:10.32604/cmc.2024.054895 - 15 October 2024

Abstract Video-based person re-identification (Re-ID), a subset of retrieval tasks, faces challenges like uncoordinated sample capturing, viewpoint variations, occlusions, cluttered backgrounds, and sequence uncertainties. Recent advancements in deep learning have significantly improved video-based person Re-ID, laying a solid foundation for further progress in the field. In order to enrich researchers’ insights into the latest research findings and prospective developments, we offer an extensive overview and meticulous analysis of contemporary video-based person Re-ID methodologies, with a specific emphasis on network architecture design and loss function design. Firstly, we introduce methods based on network architecture design and loss… More >

Saket Sarin¹, Sunil K. Singh¹, Sudhakar Kumar¹, Shivam Goyal¹, Brij Bhooshan Gupta^2,3,4,8,*, Wadee Alhalabi⁵, Varsha Arya^6,7

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 3123-3138, 2024, DOI:10.32604/cmc.2024.051599 - 15 August 2024

Abstract In the rapidly evolving landscape of today’s digital economy, Financial Technology (Fintech) emerges as a transformative force, propelled by the dynamic synergy between Artificial Intelligence (AI) and Algorithmic Trading. Our in-depth investigation delves into the intricacies of merging Multi-Agent Reinforcement Learning (MARL) and Explainable AI (XAI) within Fintech, aiming to refine Algorithmic Trading strategies. Through meticulous examination, we uncover the nuanced interactions of AI-driven agents as they collaborate and compete within the financial realm, employing sophisticated deep learning techniques to enhance the clarity and adaptability of trading decisions. These AI-infused Fintech platforms harness collective intelligence More >

Jun Wang^1,2, Linxi Zhang^1,2, Hao Zhang¹, Funan Peng^1,*, Mohammed A. El-Meligy³, Mohamed Sharaf³, Qiang Fu¹

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 1281-1299, 2024, DOI:10.32604/cmc.2024.048495 - 25 April 2024

Abstract The existing algorithms for solving multi-objective optimization problems fall into three main categories: Decomposition-based, dominance-based, and indicator-based. Traditional multi-objective optimization problems mainly focus on objectives, treating decision variables as a total variable to solve the problem without considering the critical role of decision variables in objective optimization. As seen, a variety of decision variable grouping algorithms have been proposed. However, these algorithms are relatively broad for the changes of most decision variables in the evolution process and are time-consuming in the process of finding the Pareto frontier. To solve these problems, a multi-objective optimization algorithm… More >

Chia-Nan Wang¹, Ngoc-Ai-Thy Nguyen^1,*, Thanh-Tuan Dang^1,2, Jing-Wein Wang³

Computer Systems Science and Engineering, Vol.43, No.1, pp. 347-362, 2022, DOI:10.32604/csse.2022.022941 - 23 March 2022

Abstract Along with vast non-fossil potential and significant expertise, there is a question of whether Asian nations are attaining efficient consumption and exploitation of renewable resources. From this perspective, the paper aims to evaluate the efficiency of 14 potential Asia countries in renewable energy consumption during the six-year periods (2014–2019). In analyzing the performance of the renewable energy sector, the data envelopment analysis (DEA) with an undesirable output model approach has been widely utilized to measure the efficiency of peer units compared with the best practice frontier. We consider four inputs and two outputs to a More >

Min Liu^*

Energy Engineering, Vol.119, No.2, pp. 781-800, 2022, DOI:10.32604/ee.2022.016657 - 24 January 2022

Abstract With the application of phasor measurement units (PMU) in the distribution system, it is expected that the performance of the distribution system state estimation can be improved obviously with the PMU measurements into consideration. How to appropriately place the PMUs in the distribution is therefore become an important issue due to the economical consideration. According to the concept of efficient frontier, a value-at-risk based approach is proposed to make optimal placement of PMU taking account of the uncertainty of measure errors, statistical characteristics of the pseudo measurements, and reliability of the measurement instrument. The reasonability More >

SEAN J. O’SULLIVAN^1,2,*

BIOCELL, Vol.46, No.1, pp. 7-11, 2022, DOI:10.32604/biocell.2022.017680 - 28 September 2021

Abstract The development of effective treatments for psychiatric disease has been disappointing in recent decades given the advancements in neuroscience. Moreover, rising rates of mental illness such as addiction and depression compel scientists and physicians to discover novel and creative solutions. One such approach that has proven effective is systems neuroscience: A focus on networks as opposed to mechanism. Further, investigation at the single-cell and circuit level is likely to be fruitful in such endeavors as this resolution describes the functional psychopathology that allows for intervention. More >

Georges Ephrem¹, Camden Hebson², Anitha John³, Estella Moore⁴, Maan Jokhadar⁴, Ryan Ford⁵, Gruschen Veldtman⁶, Yoav Dori⁷, Michelle Gurvitz^8,9, Brian Kogon¹⁰, Adrienne Kovacs¹¹, Meghan Roswick, Michael McConnell¹², Wendy M. Book⁴, Fred Rodriguez III^4,12

Congenital Heart Disease, Vol.14, No.2, pp. 128-137, 2019, DOI:10.1111/chd.12685

Abstract The initial “Frontiers in Fontan Failure” conference in 2015 in Atlanta, Georgia, provided an opportunity for experts in the field of pediatric cardiology and adult congenital heart disease to focus on the etiology, physiology, and potential interventions for patients with “Failing Fontan” physiology. Four types of “Fontan Failure” were described and then published by Dr Book et al. The acknowledgment that even Dr Fontan himself realized that the Fontan proce‐ dure “imposed a gradually declining functional capacity and premature late death after an initial period of often excellent palliation.” The purpose of the second “Frontiers… More >

Amir Faghri, Yuwen Zhang

Frontiers in Heat and Mass Transfer, Vol.8, pp. 1-1, 2017, DOI:10.5098/hmt.8.41

Abstract This article has no abstract. More >

Camden Hebson^1,2, Wendy Book¹, Robert W. Elder³, Ryan Ford⁴, Maan Jokhadar¹, Kirk Kanter⁵, Brian Kogon⁵, Adrienne H. Kovacs⁶, Rebecca D. Levit¹, Michael Lloyd¹, Kevin Maher², Preeti Reshamwala⁴, Fred Rodriguez III^1,2, Rene Romero⁷, Thor Tejada¹, Anne Marie Valente⁸, Gruschen Veldtman⁹, Michael McConnell^1,2

Congenital Heart Disease, Vol.12, No.1, pp. 6-16, 2017

Abstract “Frontiers in Fontan Failure” was the title of a 2015 conference sponsored by Children’s Healthcare of Atlanta and Emory University School of Medicine. In what is hoped to be the first of many such gatherings, speakers and attendees gathered to discuss the problem of long-term clinical deterioration in these patients. Specific focuses included properly defining the problem and then discussing different treatment strategies, both medical and surgical. The health of the liver after Fontan palliation was a particular point of emphasis, as were quality of life and future directions. More >

Luke Currano, Wayne Churaman, Ronald Polcawich, Jeff Pulskamp, Chris Morris, Eugene Zakar Madan Dubey¹, Priya Vashishta²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.13, No.4, pp. 71-72, 2009, DOI:10.3970/icces.2009.013.071

Abstract Micro/Nano Electro-Mechanical-Energetics science and technology have emerged over the last decade as a very critical and highly visible component of nearly all scientific and engineering disciplines. The presentation will focus on recent enabling Piezoelectric Nano/MEMS science and technologies for sensors and electronics. Most recent development in nanoenergetic devices and its integration with MEMS for several novel applications in mechanical, electrical, chemical and optical research will also be reviewed. Basic science in modeling, simulation and validation of Micro and Nano devices will also be presented for possible future generation of smart and intelligent devices/systems. More >