World Vision usa的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到附近那裡買和營業時間的推薦產品

Human-Machine Interaction and Iot Applications for a Smarter World

為了解決World Vision usa的問題，作者 這樣論述：

Dr. Nishu Gupta is a Senior Member, IEEE. He is a Postdoctoral Fellow at University of Oviedo, Spain under the research group on Systems for Multimedia and the Internet of Things (SMIOT). Presently he is serving as Assistant Professor in the Electronics and Communication Engineering department, Coll

ege of Engineering and Technology, SRM Institute of Science and Technology, Chennai, India. He received his Ph.D. degree from MNNIT Allahabad, Prayagraj, India which is an Institute of National Importance as declared by the Govt. of India. He has authored and edited several books with international

publishers like Taylor & Francis, Springer, Wiley, Scrivener, etc. Dr. Nishu is on Editorial board of various International reputed Journals and Transactions. Dr. Nishu serves as an active reviewer in various highly reputed Journals like IEEE Transactions on ITS, IEEE Access, IET Communications and

many more. He is recipient of Best Paper Presentation Award during an International Conference at Nanyang Technological University, Singapore. His research interest includes Autonomous Vehicles, Edge Computing, Augmented Intelligence, Internet of Things, Internet of Vehicles, Deep Learning, Ad-Hoc N

etworks, Vehicular Communication, Driving Efficiency, Cognitive Computing, Human-Machine Interaction, Traffic Pattern Prediction, etc.Dr. Anil Gupta is a Senior Member, IEEE and Senior Member ACM. He has more than 24 years of Industry experience. He received his Master’s degree from IIT Roorkee, Ind

ia which is an Institute of National Importance as declared by the Govt. of India. Dr. Anil is working with CDAC Pune as Associate Director. His research interest s are in HPC, SDN, IOT, 5G, Data Analytics NLP, computer vision, System Software Blockchains, cybersecurity. He has more than 70 publicat

ions in various national/International conferences and journals. He has filed five patents in India, and multiple patents are in various stages of evaluation. He has guided more than 15 Masters Dissertation. He also has guided 30+ B. Tech students for their projects.Dr. Jayden Khakurel (D.Sc. (tech)

, MBA) has ten years of experience in academia and industry. He has been working with numerous European Union (EU) funded research projects in collaboration with leading research institutes across Europe that emphasize payment, mobility, and healthcare. Moreover, he has been teaching software and in

novation undergraduate and graduate-level courses in Finland and the USA.He currently works with a conversational Artificial Intelligence (AI) using various presentation modalities (text, verbal, embodied with 3D avatar) to support child mental health across Finland as part of the Invest project (pr

oject funded by the Academy of Finland). He has extensive experience with user experience research for emerging healthcare technologies, and his current research can contribute to human-computer interaction (HCI), public health, and child mental healthcare.Prof. Derawi is currently having a dual-car

eer acting as the youngest professor of Norway and an extremely true innovator. He received his diplomas in Computer Science engineering from the Technical University of Denmark (DTU, Denmark) where he received both a BSc (2007) and Msc (2009) degree. In addition, he received the title as the younge

st engineer of Denmark in 2009. Derawi has pursued his PhD in information security at the Norwegian Information Security Laboratory (NISLab), Gjøvik University (now NTNU, Norway). In the beginning of his PhD studies, he was a visiting researcher at the Center for Advanced Security Research Darmstadt

(CASED, www.cased.de), Germany. His PhD research interest included smart mobile technologies and also biometrics with specialization on behavioural biometric recognition in mobile devices. Derawi was active in several European and national projects as well for the since 2009. Today he holds a profe

ssorship within electrical engineering and is specialised within information security, e-health, autonomous systems, biometric systems, wireless communications, IoT, digital fundamentals micro-controllers. He is also the head of the Smart Wireless Systems Research group at the Department of Electron

ic Systems (NTNU, Norway).Prof. Derawi has next to his academic career also been working with truly innovative projects which is also a part of his additional skills. He is a person that identifies the need within an industry, market segment or culture and spot opportunity in it. More importantly, h

e has also the ability to identify needs before implemented in the market, develop and refine solutions, take chances, push the envelope and create meaning.Dr. Rakesh Nayak, author of two text books, is presently working as a Professor in the Department of Computer Science and Engineering at O. P. J

indal University, Raigarh, Chhatisgarh. He received his Master’s degree in Computer Applications from Indira Gandhi National Open University in the year 2007 and M.Tech. (CSE) from Acharya Nagarjuna University in 2010 and his Ph.D. degree in Computer Science from Behrampur University in 2013. Prior

to joining the computer science department in 2022, he has worked in various capacity in different Engineering/MCA colleges. He has more than 21 years of teaching experience and has guided 11 M.Tech. Students. He has many publications in international journals to his credit.DR. SRINIVASA KIRAN GOTTA

PU received the M.S. degree in Electrical Engineering from the University of Wyoming, Laramie, WY, USA, in 2016. He received the Ph.D. degree in Electrical Engineering from the University of North Texas, Denton, USA, in 2019. He is a Senior member of IEEE. Presently, he is an Adjunct Faculty in the

Department of Electrical Engineering, University of North Texas, USA. He is working as a Senior Cloud engineer at HCL technologies. His research interests include wireless communications and networks, cognitive radio networks, digital signal and image processing, information transmission and retriev

al, and coding and information theory.

World Vision usa進入發燒排行的影片

貝氏最佳化的小樣本採集函數學習

為了解決World Vision usa的問題，作者謝秉瑾 這樣論述：

貝氏最佳化 (Bayesian optimization, BO) 通常依賴於手工製作的採集函數 (acqui- sition function, AF) 來決定採集樣本點順序。然而已經廣泛觀察到，在不同類型的黑 盒函數 (black-box function) 下，在後悔 (regret) 方面表現最好的採集函數可能會有很 大差異。 設計一種能夠在各種黑盒函數中獲得最佳性能的採集函數仍然是一個挑戰。 本文目標在通過強化學習與少樣本學習來製作採集函數(few-shot acquisition function, FSAF)來應對這一挑戰。 具體來說，我們首先將採集函數的概念與 Q 函數 (Q

-function) 聯繫起來，並將深度 Q 網路 (DQN) 視為採集函數。 雖然將 DQN 和現有的小樣本 學習方法相結合是一個自然的想法，但我們發現這種直接組合由於嚴重的過度擬合(overfitting) 而表現不佳，這在 BO 中尤其重要，因為我們需要一個通用的採樣策略。 為了解決這個問題，我們提出了一個 DQN 的貝氏變體，它具有以下三個特徵: (i) 它 基於 Kullback-Leibler 正則化 (Kullback-Leibler regularization) 框架學習 Q 網絡的分佈(distribution) 作為採集函數這本質上提供了 BO 採樣所需的不確定性並減輕了

過度擬 合。 (ii) 對於貝氏 DQN 的先驗 (prior)，我們使用由現有被廣泛使用的採集函數誘導 學習的演示策略 (demonstration policy)，以獲得更好的訓練穩定性。 (iii) 在元 (meta) 級別，我們利用貝氏模型不可知元學習 (Bayesian model-agnostic meta-learning) 的元 損失 (meta loss) 作為 FSAF 的損失函數 (loss function)。 此外，通過適當設計 Q 網 路，FSAF 是通用的，因為它與輸入域的維度 (input dimension) 和基數 (cardinality) 無 關。通過廣

泛的實驗，我們驗證 FSAF 在各種合成和現實世界的測試函數上實現了與 最先進的基準相當或更好的表現。

Paradigm Shift in E-Waste Management: Vision for the Future

為了解決World Vision usa的問題，作者 這樣論述：

Dr. Abhijit Das has received his B.Tech. (IT) from University of Kalyani, M.Tech. (IT) from the University of Calcutta and Ph.D. (Engineering) from the Department of CSE Jadavpur University, India. Dr. Das has over 17 years of Teaching and Research Experience and more than 40 Publications and 3 Edit

ed Books of International repute. Presently he is serving as an Associate Professor in the Department of IT, RCC Institute of Information Technology, Kolkata, India. He had been the Head of the Department of IT (Jan 2018 - Jan 2020) and has been the Convener of various Committees at the Institutiona

l level. Dr. Das has Organised and Chaired various International Conferences and Seminars. He has served as a Resource Person in various Institutes and Universities and Television Channels at State and National levels. Currently, 6 Scholars are working with him on different research topics like IoT,

e-Waste Management, Data Science, Quantum Computing, Object Oriented Categorization, etc. Abhijit has published 4 Patents and 8 Copyrights to date. He serves as a Reviewer for many reputed Journals and is a Professional Member of IEEE, IETE (Fellow), and ACM.Abhijit is a Professional Singer as well

and frequently performs in All India Radio Kolkata, DoorDarshan, and various private Television Channels and has more than 10 Music Albums on his credit.Biswajit Debnath is a Senior Research Fellow at Chemical Engineering Department, Jadavpur University. He was a Commonwealth Split-Site Scholar at

Aston University, Birmingham, UK (2019 - 2020). He received his B.Tech and M.E. in Chemical Engineering in 2013 and 2015 respectively. His area of specialization is waste valorisation and sustainability with special focus on e-waste and plastic waste. His other Research Interests include Circular Ec

onomy, Climate Change, SDGs, Supply Chain Management, Sustainable Smart City, Environmental Chemical Engineering etc. He has worked in UKIERI projects and published nearly 60 articles including conference proceedings, peer-reviewed journals and contributed to nearly 30 book chapters in his research

area published by Springer, Wiley, Elsevier, IEEE and River Publishers. His h index is 11 with 415 citations. He is a CPCB certified trainer for the six waste management rules and provided training on e-waste & plastic waste rules on invitation. He has won best paper award several times in Internati

onal Conferences which fetched him ten invited lectures including webinars. Since December 2018, he is one of the highest read authors from his department in ResearchGate. He has completed five collaborative (unfunded) projects with colleagues in USA, Finland, Saudi Arabia and India. He is reviewer

of reputed journals namely ACS Sustainable Chemistry and Engineering, Journal of Material Cycles and Waste Management, Journal of Network and Computer Applications, Environment, Development and Sustainability, Waste Management published by Springer; ACS and Elsevier.Mr. Potluri Anil Chowdary is the

Managing Director of Green Waves Environmental Solutions, the only First Authorized E - waste collection and handling unit in Andhra Pradesh (unit in Visakhapatnam) since April 2015. Mr. Potluri graduated with Diploma in Environment Resource Management from Waiariki Institute of Technology (New Zeal

and). He completed his Master in Science (M.Sc) in Environmental Science branch from GITAM Institute of Science, GITAM University (India). He did his Engineering in Chemical Technology from Chaitanya Bharathi Institute of Technology, Osmania University (India). He has worked in several projects in N

ew Zealand including plantation of native flora and Pest Management (2014); ’Love Your Water’ program organized by Sustainable Coastline on cleaning of fresh and marine water bodies (2014); Composting and Vermi Composting for the Linton Park Community Centre under the guidance of Mr. Rick Mansell (C

entre Coordinator, Linton Park Community Centre, Rotorua, New Zealand) in the year 2014. Under his reign, Green Waves Environmental Solutions has won multiple national and international awards such as - National Awards for its excellence in e-Waste Recycling at Indian Industry Session (at 8th Region

al 3R Forum in Asia and the Pacific); Seva Puraskar award by Andhra Pradesh Pollution Control board for our great contribution towards sensitizing the people on E-waste management and for effective recycling of e-waste on world environmental day 2018; IconSWM Award for its excellence in E-Waste recy

cling: at 8th International Conference on Sustainable Waste Management, 22 November 2018, Acharya Nagajurna University, Guntur, Andhra Pradesh. He has delivered invited lectures and participated in workshops on waste management, E-waste, upcycling and nature conservation.Dr. Siddhartha Bhattacharyya

did his Bachelors in Physics, Bachelors in Optics and Optoelectronics and Masters in Optics and Optoelectronics from University of Calcutta, India in 1995, 1998 and 2000 respectively. He completed PhD in Computer Science and Engineering from Jadavpur University, India in 2008. He is the recipient o

f the University Gold Medal from the University of Calcutta for his Masters. He is the recipient of several coveted awards including the Distinguished HoD Award and Distinguished Professor Award conferred by Computer Society of India, Mumbai Chapter, India in 2017, the Honorary Doctorate Award (D. L

itt.) from The University of South America and the South East Asian Regional Computing Confederation (SEARCC) International Digital Award ICT Educator of the Year in 2017. He has been appointed as the ACM Distinguished Speaker for the tenure 2018-2020. He has been inducted into the People of ACM hal

l of fame by ACM, USA in 2020. He has been appointed as the IEEE Computer Society Distinguished Visitor for the tenure 2021-2023. He has been elected as the full foreign member of the Russian Academy of Natural Sciences. He has been elected a full fellow of The Royal Society for Arts, Manufacturers

and Commerce (RSA), London, UK.He is currently serving as the Principal of Rajnagar Mahavidyalaya, Rajnagar, Birbhum. He served as a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He served as the Principal of RCC Institute of Information Technology,

Kolkata, India during 2017-2019. He has also served as a Senior Research Scientist in the Faculty of Electrical Engineering and Computer Science of VSB Technical University of Ostrava, Czech Republic (2018-2019). Prior to this, he was the Professor of Information Technology of RCC Institute of Info

rmation Technology, Kolkata, India. He served as the Head of the Department from March, 2014 to December, 2016. Prior to this, he was an Associate Professor of Information Technology of RCC Institute of Information Technology, Kolkata, India from 2011-2014. Before that, he served as an Assistant Pro

fessor in Computer Science and Information Technology of University Institute of Technology, The University of Burdwan, India from 2005-2011. He was a Lecturer in Information Technology of Kalyani Government Engineering College, India during 2001-2005. He is a co-author of 6 books and the co-editor

of 75 books and has more than 300 research publications in international journals and conference proceedings to his credit. He has got two PCTs to his credit. He has been the member of the organizing and technical program committees of several national and international conferences. He is the foundi

ng Chair of ICCICN 2014, ICRCICN (2015, 2016, 2017, 2018), ISSIP (2017, 2018) (Kolkata, India). He was the General Chair of several international conferences like WCNSSP 2016 (Chiang Mai, Thailand), ICACCP (2017, 2019) (Sikkim, India) and (ICICC 2018 (New Delhi, India) and ICICC 2019 (Ostrava, Czech

Republic).He is the Associate Editor of several reputed journals including Applied Soft Computing, IEEE Access, Evolutionary Intelligence and IET Quantum Communications. He is the editor of International Journal of Pattern Recognition Research and the founding Editor in Chief of International Journ

al of Hybrid Intelligence, Inderscience. He has guest edited several issues with several international journals. He is serving as the Series Editor of IGI Global Book Series Advances in Information Quality and Management (AIQM), De Gruyter Book Series Frontiers in Computational Intelligence (FCI), C

RC Press Book Series(s) Computational Intelligence and Applications & Quantum Machine Intelligence, Wiley Book Series Intelligent Signal and Data Processing, Elsevier Book Series Hybrid Computational Intelligence for Pattern Analysis and Understanding and Springer Tracts on Human Centered Computing.

His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing. He is a life fellow of Optical Society of India (OSI), India, life fellow of International Society of Research and Development (ISRD), UK, a fellow of Instituti

on of Engineering and Technology (IET), UK, a fellow of Institute of Electronics and Telecommunication Engineers (IETE), India and a fellow of Institution of Engineers (IEI), India. He is also a senior member of Institute of Electrical and Electronics Engineers (IEEE), USA, International Institute o

f Engineering and Technology (IETI), Hong Kong and Association for Computing Machinery (ACM), USA. He is a life member of Cryptology Research Society of India (CRSI), Computer Society of India (CSI), Indian Society for Technical Education (ISTE), Indian Unit for Pattern Recognition and Artificial In

telligence (IUPRAI), Center for Education Growth and Research (CEGR), Integrated Chambers of Commerce and Industry (ICCI), and Association of Leaders and Industries (ALI). He is a member of Institution of Engineering and Technology (IET), UK, International Rough Set Society, International Associatio

n for Engineers (IAENG), Hong Kong, Computer Science Teachers Association (CSTA), USA, International Association of Academicians, Scholars, Scientists and Engineers (IAASSE), USA, Institute of Doctors Engineers and Scientists (IDES), India, The International Society of Service Innovation Professiona

ls (ISSIP) and The Society of Digital Information and Wireless Communications (SDIWC). He is also a certified Chartered Engineer of Institution of Engineers (IEI), India. He is on the Board of Directors of International Institute of Engineering and Technology (IETI), Hong Kong.

基於目的地導向之道路潛在危險社交行為預測

為了解決World Vision usa的問題，作者林明志 這樣論述：

本論文主要開發一套基於目的地導向之道路潛在危險社交行為預測，如行人或車輛無預期性的突然闖入車道、行人不遵守道路規則橫跨馬路等道路危險情境，藉由所發展的深度學習演算策略預測動態物件的短期軌跡，以進一步達到駕駛安全預警輔助系統之功效。首先，為了提取道路環境中動態物件一小段連續時間的辨識結果，故本論文主要是採用深度學習模型進行物件辨識，並於辨識後使用件追蹤演算法，以確保獲得的邊界框為同一行人、四輪車輛或者兩輪車輛。接著我們發展一套基於目的地導向之社交行為預測模型，並搭配自我迴歸訓練策略，以實現物件彼此之間的社交軌跡預測，其中該網路模型主要分成五大部分 (1)特徵提取器；(2)編碼器；(2)目的地導

向預測器；(3)條件變分自動編碼器；(4)解碼器。首先，透過特徵提取器由輸入資訊中提取動態物件與自車彼此間的距離、動態物件速度、動態物件軌跡以及自車的狀態等時序特徵。接著，輸入至編碼器中進行編碼，此編碼器主要由長短期記憶與多頭自注意力機制組成，分別針對目標物件的時序特徵以及社交關係進行編碼。接著，目的地導向預測器則是透過長短期記憶與多頭自注意力機制先行預測未來軌跡，並分別向前回饋給編碼器以輔助特徵編碼生成；同時向後輸出至後續的條件變分自動編碼器，以用來輔助最終的軌跡預測結果。第三部分為條件變分自動編碼器將未來軌跡做為條件，生成符合條件的未來軌跡多模態(multimodal)分佈。最終透過基於多

頭自注意力機制的解碼器，有效預測出更準確的軌跡路徑。最後本文主要是採用TITAN公開資料庫，以進行本文所發展的演算模型驗證與量化分析。經實驗結果發現，本文所提方法其預測軌跡的平均位移誤差(ADE)能有效改善5%、最終位移誤差(FDE)更能有效改善21%，同時最終交並比(FIOU)也提升9%。