Soft Computing and Signal Processing (eBook, PDF)

Proceedings of 6th ICSCSP 2023, Volume 2
Redaktion: Zen, Hushairi; Rao, S. Srinivasa; Latha, Y. Madhavee; Dasari, Naga M.

• Format: PDF

Produktbeschreibung

This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Sixth International Conference on Soft Computing and Signal Processing (ICSCSP 2023). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 643
• Erscheinungstermin: 16. Februar 2024
• Englisch
• ISBN-13: 9789819984510
• Artikelnr.: 70001915

Autorenporträt

Dr. Hushairi Zen was awarded his Doctoral degree from Edith Cowan University, Australia in the area of Wireless Communication Networking and Protocol. He has pursued his Masters in Telecommunications from Universiti Malaysia Sarawak (UNIMAS). He has pursued his degree Bachelor's Degree in Electronics and Telecommunication at Universiti Malaysia Sarawak (UNIMAS). His areas of expertise are Wireless Communication, Internet ofThings, Renewable Energy. He has undertaken several consultancy works in Nanga Sengaih Micro Hydro Project, KKLW, RM 1,700,000.00, 2011,Semulung Ulu Micro Hydro Project, KKLW, RM 1,600,000.00, 2011,Assum Micro Hydro Project, RM 3,500,000.00, 2013,Bario Micro Hydro Project, RM4,000,000.00, 2013,Study of Illegal Parabola Dish within Community in Sarawak, MCMC, RM345,000.00, 2015,Development of Sago Palm Detection and Quantification using Drone and Deep Learning, CRAUN Research, RM85,000 2019,Development of Reverse Osmosis Performance Monitoring based on IoT and Artificial Intelligence, Biomedix Solutions Sdn Bhd, RM180,000. 2020,A holistic Approach to Accelerate Sarawak in Embracing Digital Technology Advancement, SDEC, 2020, RM80,000,Study on Transformation of Unit Pendaftaran Kontraktor dan Juruperunding (UPKJ) Towards World Class Service Delivery, State Goverment, RM921,000.00, 2021.He has over 70 publications in several National and International Journals, Conferences and book Chapters. He has won the Gold medal Award at INTEX 2022. Real-time Landslide Monitoring and Alert System based on IoT and BigData, Silver Medal Award at INTEX 16 for Wrist Module as an Applied Health Monitoring System in Wireless Today Area Network, Bronze Medal Award at INTEX 17 for Wearable Body Posture Monitoring System and Bronze Medal Award 16. Pump as Turbine with Rounded Leading Edge Impeller for Microhydro System. Dr. Naga M. Dasari was awarded Doctorate in Computational Neuroscience by the University of South Australia in 2016. He has pursued Master of Technology (Digital Systems and Computer Electronics) at Jawaharlal Nehru Technological University (JNTU), India, 1997. He has pursued his Bachelors of Technology in Electronics and Communication Engineering from Jawaharlal Nehru Technological University (JNTU), India.he is a highly qualified and experienced academic professional known for a combination of holistic teaching & research skills, academic leadership capabilities, and interpersonal strengths. He has extensive experience in Curriculum Development and Implementation, Course Coordination and Delivery, Teaching, Education Administration and research gained from over 25 years of employment history in the academics. He is an accomplished, visionary leader recognised for delivering safe, inclusive, and student focused learning environment whilst ensuring a school culture that encourages continuous improvement for teachers and students. He won a prize in GovHack, Australia's largest open government and open data hackathon, 2019.His core competencies include Superior aptitude to strategize, execute and deliver tangible, measurable results that support and enable the organisation to achieve its academic goals and objectives, experienced in supervising higher degree research projects made possible by exceptional project management skills, extensive experience in providing academic leadership to staff members and leading and facilitating research and scholarly activities in line with the established vision, mission, values and objectives of the Institution. He has a robust record of team leadership, subject matter expertise, and relationship management and committed to delivering high quality education consistently. Dr. Madhavee Latha Yaratha was awarded Doctorate in Electronics & Communication Engineering by JNT University, Hyderabad, India, January 2009. She has pursued her Masters in Digital systems & Computer Electronics" from JNT University College of Engineering, Hyderabad, India,2002-2004.She has pursued her Bachelors of Technology in Electronics & Communication Engineering" from JNT University College of Engineering, Hyderabad, India. Her Research Interests lies in the areas of. She has a vast experience of 22 years at various levels of Academic and Administrative Positions. She is presently working as Professor of ECE & Principal at Malla Reddy Engineering College for Women since July2010.She served as "Professor & Head", Department of ECE, Hyderabad at Malla Reddy College of Engineering & Technology. She has worked at G. Narayanamma Institute of Technology & Science, Department of ECE, Hyderabad for a period of 10 Years. She has many Awards to her credit. Few of them are Women Entreprenuer of top women's College in India-2022 by Women Entreprenuer, INDIA, Bhishma Acharya Award by Bharat Education Excellence Awards, All India Level Biggest Award Ceremony of Education and Research, India's 20 women Pragmatic Women Leaders in Education Industry 2021,"Most Innovative Principal Engineering Colleges in Telangana State Award" received from International Education Awards, Time Cyber Media Pvt. Ltd, "Best Principal Award for Excellence in Education" received from Global LeaderFoundation, "Women in Education Award" received from Dewang Mehta National EducationalAwards for being the inspiring woman in education, Academic Excellence Award in the year2007-08.She has 257 Google scholar citations (h-index 11,i10 index 12). She is an Editor for International Journal of Pure and Applied Mathematics (IJPAM), International Conferences on AICTE Sponsored "Signal Processing, Communications and System Design"(ICSPCOMSD). She is a Member of IEEE (92631973),Life Member of IETE (LM177648),Life Member of ISTE(LM33687),Member of CSI(5023220053). Dr. S. Srinivasa Rao was awarded Doctorate in Electronics & Communication Engineering by JNT University, Hyderabad, India, January 2013.He has pursued his Masters in Digital systems & Computer Electronics" from JNT University College of Engineering, Hyderabad, India,2002-2004 .He has pursued his Bachelors of Technology in Electronics & Communication Engineering" from Madras Institute of Technology, Anna University. He is a Research Guide for PhD Scholars at Lincoln University, Kualalumpur, Malaysia, PhD Examiner for Anna University, Chennai and is a Reviewer for Springer, Elsevier International Journals. He has over 24 years of Teaching Experience. He has been a Guest Faculty for BITS-Pilani MS Programme for Qualcomm Employees for the courses "Wireless and Mobile Communications" during August - December, 2012 and" Pervasive Computing Technology" during August - December, 2013. Best Teacher Award for three consecutive academic years 2005-06, 2006-07, 2007-08 from Aurora Group of Institutions, Hyderabad. Some of his best academic contributions include Projects Examiner of BITS Pilani MS Programme for Qualcomm Employees, Hyderabad and Proctor for NetMath Online program, Department of Mathematics, University of Illinois Urbana-Champaign, USA. He is a member of Professional bodies like IEEE, IETE and ISTE.

Inhaltsangabe

Review Of Integrated Dashboard Model For Performance Measurements.- An Empirical Analysis Of Lung Cancer Detection And Classification Using CT Images.- Species Identification Of Birds Via Acoustic Processing Signals Using Recurrent Network Analysis (RNN).- Optimized Analysis Of Emotion Recognition Through Speech Signals.- Estimation Of Impurities Present In An Iron Ore Using CNN.- Convolutional Neural Network And Recursive Feature Elimination Based Model For The Diagnosis Of Mild Cognitive Impairments.- Secure Identity Based Authentication For Emergency Communication.- IOT-Based Smart Wearable Devices Using Very Large Scale Integration (VLSI) Technology.- Camera And Voice Control Based Human Computer Interaction Using Machine Learning.- Anomaly Detection In Classroom Using Convolutional Neural Networks.- Efficient Vlsi Architectures Of Multimode 2D Fir Filter Bank Using Distributed Arithmetic Methodology.- A Systematic Study And Detailed Performance Assessment Of SDN Controllers AcrossA Wide Range Of Network Architectures.- An Image Processing Approach For Weed Detection Using Deep Convolutional Neural Network.- Trust And Secured Routing In Mobile AD HOC Network Using Block Chain.- Underwater Image Quality Assessment And Enhancement Using Active Inference.- A Machine Learning And Deep Learning Based Web Application For Crop And Fertilizer Recommendation And Crop Disease Prediction.- The Hybrid Model Of LSB - Technique In Image Steganography Using Aes And Rsa Algorithm.- Secure Trust Based Attribute Access Control Mechanism Using FK-MFCMC AND MOEHO-XGBOOST Techniques.- Designing Multiband Patch Antenna For 5G Communication System.- Applications Of AI Techniques In Healthcare And Wellbeing Systems.- Intelligent One Step Authentication Using Machine Learning Model For Secure Interaction With Electronic Devices.- Development Of Automated Vending Machine For The Application Of Dispensing Of Medicines.- Multiband Micro-Strip Patch Antenna For C/X/KU/K Band Applications.-Islanding Detection And Prevention Of Blackout Of Distribution System Using Decision Tree Algorithm Based Load Shedding.- Propogation Of Computer Worms - A Study.