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Phishing Detection Using Content Based Image Classification

為了解決Computer programme的問題，作者Khandelwal, Shekhar,Das, Rik 這樣論述：

Shekhar Khandelwal is a Data Scientist and works for Ernst & Young (EY) for Data & Analytics team. He has an extensive experience of around 15 years in the industry, and has worked across every sphere of Software Development Lifecycle. He has worked as a product developer, industry solutions develop

er, data engineer, data scientist and also as a Cloud developer. Previously, he worked for IBM Software labs where he also got a chance to work for industrial IoT based IBM cognitive product development and client deployment using various Watson tools and technologies. He is an industry leader solvi

ng challenging Computer Vision, NLP and Predictive Analytics based problems using Machine Learning and Deep Learning.Dr. Rik Das is an Assistant Professor for Post Graduate Programme in Information Technology, Xavier Institute of Social Service, Ranchi and an Adjunct Faculty with upGrad (India’s lar

gest online higher education company). He is a Ph.D. (Tech.) in Information Technology from University of Calcutta. He has also received his M.Tech. (Information Technology) from University of Calcutta after his B.E. (Information Technology) from University of Burdwan. Dr. Das has over 17 years of e

xperience in traditional academia, EdTech companies and research with various leading Universities and Institutes in India including Narsee Monjee Institute of Management Studies (NMIMS) (Deemed-to-be-University), Globsyn Business School, Maulana Abul Kalam Azad University of Technology and so on. H

e has an early career stint in Business Development and Project Marketing with Industries like Great Eastern Impex Pvt. Ltd., Zenith Computers Ltd. and so on. Dr. Rik Das is appointed as a Distinguished Speaker by the Association of Computing Machinery (ACM), New York, USA in July, 2020. He is featu

red in uLektz Wall of Fame as one of the Top 50 Tech Savvy Academicians in Higher Education across India for the year 2019. He is also a Member of International Advisory Committee of AI-Forum, UK. He is awarded with Professional Membership of the Association of Computing Machinery (ACM), New York, U

SA for the year 2020-21. He is the recipient of prestigious InSc Research Excellence Award hosted in the year 2020. Dr. Das is conferred with Best Researcher Award at International Scientist Awards on Engineering, Science and Medicine for the year 2021. He is also the recipient of Best Innovation Aw

ard in Computer Science category at UILA Awards 2021.Dr. Das has carried out collaborative research with professionals from Industries like Philips-Canada, Cognizant Technology Solutions, TCS and so on. His keen interest towards application of machine learning and deep learning techniques for design

ing computer aided diagnosis systems has resulted in joint publications of research articles with Professors and Researchers from various Universities abroad including College of Medicine, University of Saskatchewan, Canada, Faculty of Electrical Engineering and Computer Science, VSB Technical Unive

rsity of Ostrava, Ostrava, Czechia, Cairo University, Giza, Egypt and so on. Dr. Das has filed and published two Indian patents consecutively during the year 2018 and 2019 and has over 40 International publications till date with reputed publishers like IEEE, Springer, Emerald, Inderscience and so o

n. He has also authored three books in the domain of content based image classification and has edited 3 volumes till date with IGI Global, CRC Press and De Gruyter, Germany, respectively. Dr. Das has chaired several sessions in International Conferences on Artificial Intelligence and Machine Learni

ng as a domain expert. Dr. Rik Das has served as an invited speaker in various national and international technical events, conclaves, meetups and refresher courses on data analytics, artificial intelligence, machine learning, deep learning, image processing and e-learning organized and hosted by pr

ominent bodies like University Grants Commission (Human Resource Development Centre), The Confederation of Indian Industry (CII), Software Consulting Organizations, MHRD initiative under Pandit Madan Mohan Malviya National Mission on Teachers and Teaching, IEEE Student Chapters, Computer Science/ In

formation Technology Departments of Leading Universities etc. Dr. Rik Das has a YouTube channel named ’Curious Neuron’ as his hobby to disseminate free knowledge and information to larger communities in the domain of machine learning, research and development and open source programming languages. D

r. Das is always open to discuss new research and project ideas for collaborative work and for techno-managerial consultancies.

Computer programme進入發燒排行的影片

應用行為分析介入策略對改善自閉症幼兒挑食行為之成效研究

為了解決Computer programme的問題，作者郭淑芬 這樣論述：

本研究旨在探討運用應用行為分析策略介入自閉症光譜症候群幼兒挑食行為之成效。研究方法採單一受試研究法之多探試設計，以一名五歲自閉症光譜症候群幼兒為研究對象。自變項為影片示範教學及塑造，依變項為挑食行為、攝取水果行為、攝取水果之介入時段數，以及攝取水果之維持與類化。本研究計畫共進行六個月，研究結果彙整各階段之介入數據，透過視覺分析檢視影片示範教學及塑造對本研究對象的挑食行為及攝取水果行為之介入成效，並分析家長訪談資料以探討社會效度。應用影片示範教學及塑造於自閉症光譜症候群幼兒，本研究結果如下： 一、有效減少挑食行為。 二、有效提升攝取水果之份量。 三、對於新的水果接受度較快，介入時段減少。

四、對於挑食行為及攝取水果行為的改善具有類化與維持成效。 五、對於改善挑食行為及攝取水果行為具社會效度。根據上述研究結果詳加探討與分析，提出具體建議，以供相關專業人員以及未來研究之參考。

Computer Aided Pharmaceutics and Drug Delivery

為了解決Computer programme的問題，作者 這樣論述：

Dr. Vikas Anand Saharan had obtained his B. Pharm from SBSPGI Dehradun, master’s from NIPER Mohali and PhD from Mohanlal Sukhadia University Udaipur. He has 20 years of teaching and research experience in pharmacy, published 56+ papers in journals, presented 70+ papers in conferences, supervised 30+

M.Pharm and 02 PhD thesis. He has authored 3 books and 11 book chapters. He has received an award for GATE guidance and appreciation awards for teaching and research. He is a reviewer, editorial board member in various national and international journals. He is a recipient of grant-in-aid under the

AICTE-MODROBS project. Presently he is also entrusted with the responsibilities of chief programme coordinator for PhD and nodal officer for AISHE at Sardar Bhagwan Singh University.

永續生態建築設計之關鍵影響因素探討

為了解決Computer programme的問題，作者蕭榮書 這樣論述：

全球暖化引起的極端氣候對人類存續已經成為巨大的威脅，現在若是不及時的展開對於溫室氣體二氧化碳及甲烷排放的控制，隨著時間的消逝風險將越來越高。環境受到的脅迫漸漸反饋在人類生活的社會上，逐漸的引領著建築師構思著甚麼樣的方式可以讓建築永續發展。因此在上個世紀末出現了生態建築這樣的一個新的概念。他是將永續發展與生態學的原理和方法融入建築設計之中，以人、建築、自然和社會平衡發展為理想，在盡可能減少且有完整的計畫之下使用和融入自然環境，來構建最符合人類居住和發展的生態生活空間，並將此一生態生活空間視為一個有機的、具有堅固構造和機能的一個完整的系統來看待。本研究針對台灣臺北市建築師公會之主管與員工及會員作

為問卷分析對象。本研究問卷發放360份之研究樣本，回收有效問卷244份，回收率68％。研究結果：1.在被評量的四個構面中，最受到重視的構面為「生態」，其次重視之構面分別為「健康」、「減廢」、「節能」。2.在14項評估指標中，最重視的前五項指標分別依序為：(1)綠化量；(2)環保健康建材；(3)生物多樣性；(4)廢棄物減量；(5)綠能設計。並根據結果提出建議，期望能讓我國在永續發展的概念下，協助國內建築模式與理念能逐漸改變，進而有效率的發展生態建築。