project presentation的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括賽程、直播線上看和比分戰績懶人包

Human-Machine Interaction and Iot Applications for a Smarter World

為了解決project presentation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.

project presentation進入發燒排行的影片

行動裝置教育方案於腦中風患者之成效

為了解決project presentation的問題，作者余秋菊 這樣論述：

背景與目的：衛生福利部統計2019年腦血管疾病是造成臺灣地區民眾十大死因的第4名，腦中風發生的6個月內有超過25%的病患導致嚴重失能，慢性疾病皆是腦中風的致病危險因子，針對這些疾病的治療及控制是可降低腦中風的發生率，故需長時間監控及配合慢性疾病藥物治療，改變飲食習慣及建立良好的健康生活型態，提供病患出院返家後疾病相關知識。護理人員扮演著教育者的角色，傳統護理指導大部份給予紙本單張及口頭教育，然而現今資訊科技的進步及行動網路3C產品的普及化，可提供即時、個別化，是目前臨床照護上最即時及有效率的方式。因此，本研究探討行動裝置教育方案於腦中風病患提升自我照顧知識、自我效能及避免憂鬱之成效。研究方法

：本研究在臺灣北部某醫學中心之神經內科病房及老年醫學病房進行收案，採兩組前、後測，隨機、單盲之實驗性研究設計，收案82位，包括實驗組40位(行動裝置教育方案)及控制組42位(常規護理)，分別於住院48小時內進行前測及介入，出院前24小時進行後測之施測。研究問卷包含腦中風自我照顧知識量表(Stroke Self-Care Knowledge)、腦中風自我效能量表(Stroke Self-Efficacy Questionnaire, SSEQ)、貝克憂鬱量表(Beck Depression Inventory, BDI)、健康指導內容滿意度之視覺類比量表(Visual Analogue Scal

e, VAS )，以套裝統計軟體SPSS 20.0版進行統計分析，進行描述性統計及推論性統計。描述性統計以次數分配、百分比、平均數、標準差、最大值及最小值呈現研究對象之人口學資料及疾病特徵；推論性統計以獨立樣本t檢定、卡方比較兩組在人口學基本屬性、疾病特徵、腦中風自我照顧知識、腦中風自我效能、憂鬱及介入措施滿意度之差異，運用廣義估計方程式(generalized estimating equation, GEE)檢定兩組之前、後測腦中風自我照顧知識、腦中風自我效能及憂鬱改善成效，再以獨立樣本t檢定統計比較兩組介入措施滿意度之差異。研究結果：本研究之研究對象為老年、男性、已婚、退休、高中職、佛道

教為主，共病指數(Charlson Comorbidity Index, CCI)平均值為2.28，過去病史以高血壓為主、其次為糖尿病。行動裝置教育方案介入後兩組腦中風自我照顧知識於組別主效果( β = 6.88, SE = .78, p < .001)、時間主效果( β = -6.15, SE = .71, p < .001)、組別與時間交互作用( β = -6.93, SE = .89, p < .001)皆呈統計學上顯著差異；腦中風自我效能(SSEQ)於組別主效果( β = 16.80, SE = 2.46, p < .001)、時間主效果( β = -33.66, SE = 2.78,

p < .001)、組別與時間交互作用( β = -6.46, SE = 4.02, p < .001)皆呈統計學上顯著差異；憂鬱(BDI)改善成效於組別主效果( β = -7.29, SE = 1.50, p < .001)、時間主效果( β = 8.37, SE = 1.77, p < .001)、組別與時間交互作用( β= 5.28, SE = 2.09, p < .001)皆呈統計學上顯著差異；以獨立樣本t檢定統計方式比較實驗組(行動裝置教育方案)與控制組(常規護理)的介入措施滿意度，呈統計學上顯著差異( p < .05)，即表示此行動裝置教育方案介入措施的滿意度比常規護理有明顯成

效。結論：本研究結果證實透過行動裝置教育方案於腦中風患者，可以有效提升腦中風自我照顧知識、腦中風自我效能程度成改善憂鬱程度，行動裝置教育方案較傳統口頭健康指導有較高的介入滿意度。臨床與實務應用：在實證依據基礎下，使用行動裝置教育方案於腦中風患者之成效更較傳統口頭健康指導成效佳，且具有統計學上顯著差異。因應3C化數位時代來臨，手機及網路使用普及化，希望能藉由腦中風行動裝置教育方案方便性、健康指導內容生動性，且有具個別性的優點，能促進提升臨床護理人員在病患住院期間提供返家後健康指導內容，更能減少的時間人力成本。對於需要長期復健治療之腦中風患者更能提供持續性的照護內容，藉由操作行動裝置教育方案過程，

更可以促進患者與家人之間的親情互動，值得在臨床上推廣。

Vesticja Basta: A Witch’s Garden

為了解決project presentation的問題，作者Ristic, Radomir/ Rainey-smith, Liv (ILT) 這樣論述：

BASTA VESTICJA, or 'A Witch's Garden' is rich presentation of the occult properties and witchcraft lore of over 60 herbs and trees. Written by a modern practitioner and ethnologist, the book discusses the magical usages of herbs in healing, witchcraft, and shamanic trance, as well as the relation be

tween spirits of the land and the plant powers accessed by the witch. Although the specific emphasis is on the occult traditions of the Balkans, most of the plants are found widely distributed across Europe, and contains information which has never been published elsewhere. Lavishly illustrated by a

rtist Liv Rainey Smith with over 50 original botanical woodcuts specially commissioned for the project, BASTA VESTICJA is an engrossing book of plant lore that is both beautiful and informative.

以監督式機器學習探討電子病歷中非結構化資料對早期預測中風後功能復原後果之價值

為了解決project presentation的問題，作者宋昇峯 這樣論述：

中風是導致成人殘障的重要原因，中風功能復原後果的精準預測，能協助病人及家屬及早準備後續照顧事宜，衛生政策制定者也能依此預測結果適切規劃人力與資源，以投入中風病人的急性後期與中長期照護。目前的中風功能復原後果預測模型皆是以結構化資料建立，甚至最新使用數據驅動方式發展的機器學習預測模型依然是以結構化資料為主。相對的，照顧病人所製作的大量敘述式病歷文字紀錄，即非結構化資料，反而甚少被使用。因此，本研究的目的，即是使用監督式機器學習來探討非結構化臨床文字紀錄於急性缺血性中風後之初期預測功能復原後果之應用價值。在6176位2007年10月至2019年12月間因急性缺血性中風住院之病人中，共3847位病

人符合本研究之收案/排除條件。我們使用自然語言處理，萃取出住院初期之醫師紀錄及放射報告中之臨床文字紀錄，並且實驗了不同文字模型與機器學習演算法之組合，來建構中風功能復原後果的預測模型。實驗發現使用醫師紀錄時，操作特徵曲線下面積為0.782至0.805，而使用放射報告時，曲線下面積為0.718至0.730。使用醫師紀錄時，最好的組合為詞頻-倒文件頻加上羅吉斯迴歸，而使用放射報告時，最好之組合為基于轉換器的雙向編碼器表示技術加上支持向量機。這些基於純文字的機器學習預測模型並無法勝過傳統的風險模型，這些傳統模型的曲線下面積為0.811至0.841。然而，不管是以曲線下面積、重分類淨改善指標、或整合式

區辨改善指標來評估，臨床文字紀錄中的資訊的確可以增強傳統風險模型的預測效能。本研究之結論為，電子病歷中的非結構化文字經過自然語言處理後，不僅可以成為另類預測中風功能復原後果的工具，更可以增強傳統風險模型的預測效能。透過演算法來自動擷取並整合分析結構化與非結構化資料，將能提供醫師更好的決策支援。