دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: 1st ed. نویسندگان: Joy Iong-Zong Chen, João Manuel R. S. Tavares, Subarna Shakya, Abdullah M. Iliyasu سری: Advances in Intelligent Systems and Computing 1200 ISBN (شابک) : 9783030518585, 9783030518592 ناشر: Springer International Publishing;Springer سال نشر: 2021 تعداد صفحات: 826 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 88 مگابایت
در صورت ایرانی بودن نویسنده امکان دانلود وجود ندارد و مبلغ عودت داده خواهد شد
در صورت تبدیل فایل کتاب Image Processing and Capsule Networks: ICIPCN 2020 به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب شبکه های پردازش تصویر و کپسول: ICIPCN 2020 نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب بر بلوک ساختمانی نوظهور حوزه پردازش تصویر تأکید دارد که به عنوان شبکههای کپسولی برای انجام تشخیص و پردازش تصویر عمیق برای علم تصویربرداری نسل بعدی شناخته میشود. در سالهای اخیر شاهد توسعه مداوم فناوریها و متدولوژیهای مرتبط با پردازش تصویر، تحلیل و مدلسازی سهبعدی بودهاند که در زمینه کامپیوتر و بینایی تصویر پیادهسازی شدهاند. توسعه چشمگیر این فناوریها منجر به راهحلی کارآمد به نام شبکههای کپسولی (CapsNet) برای حل چالشهای پیچیده در تشخیص حالتهای تصویر پیچیده، وظایف بصری و تغییر شکل اشیا شده است. علاوه بر این، رشد سرسامآور پیچیدگیهای محاسباتی و راندمان محاسباتی باعث ایجاد پیشرفتهای چشمگیر الگوریتمهای شبکه کپسولی مؤثر و پیچیده و ابزارهای هوش مصنوعی [AI] شده است.
هدف اصلی این کتاب توضیح و خلاصه کردن پیشرفتهای مهم تحقیقاتی پیشرفته در زمینههای الگوریتمها و معماریهای شبکه کپسولی [CapsNet] با مفاهیم بلادرنگ در زمینههای تشخیص تصویر، سنجش از دور، تجزیه و تحلیل تصویر زیست پزشکی، ارتباطات کامپیوتری، بینایی ماشین، اینترنت اشیا و تکنیک های تجزیه و تحلیل داده ها.
This book emphasizes the emerging building block of image processing domain, which is known as capsule networks for performing deep image recognition and processing for next-generation imaging science. Recent years have witnessed the continuous development of technologies and methodologies related to image processing, analysis and 3D modeling which have been implemented in the field of computer and image vision. The significant development of these technologies has led to an efficient solution called capsule networks [CapsNet] to solve the intricate challenges in recognizing complex image poses, visual tasks, and object deformation. Moreover, the breakneck growth of computation complexities and computing efficiency has initiated the significant developments of the effective and sophisticated capsule network algorithms and artificial intelligence [AI] tools into existence.
The main contribution of this book is to explain and summarize the significant state-of-the-art research advances in the areas of capsule network [CapsNet] algorithms and architectures with real-time implications in the areas of image detection, remote sensing, biomedical image analysis, computer communications, machine vision, Internet of things, and data analytics techniques.
Front Matter ....Pages i-xxii
Efficient GAN-Based Remote Sensing Image Change Detection Under Noise Conditions (Wenzhun Huang, Shanwen Zhang, Harry Haoxiang Wang)....Pages 1-8
Recognition of Handwritten Digits by Image Processing Methods and Classification Models (Amelec Viloria, Reinaldo Rico, Omar Bonerge Pineda Lezama)....Pages 9-19
Convolutional Neural Network with Multi-column Characteristics Extraction for Image Classification (Jesus Silva, Noel Varela, Janns A. Patiño-Saucedo, Omar Bonerge Pineda Lezama)....Pages 20-30
Face Detection Based on Image Stitching for Class Attendance Checking (Qiubo Huang, Chun Ji)....Pages 31-43
Image Processing Technique for Effective Analysis of the Cytotoxic Activity in Human Breast Cancer Cell Lines – MCF-7 (K. Sujatha, B. Deepa lakshmi, B. Rajeswary Hari, D. Sangeetha, B. Selvapriya)....Pages 44-53
Development of an Algorithm for Vertebrae Identification Using Speeded up Robost Features (SURF) Technique in Scoliosis X-Ray Images (Tabitha Janumala, K. B. Ramesh)....Pages 54-62
Comparison of Machine Learning Algorithms for Smart License Number Plate Detection System (Anjali Suresan, Divyaa Mahalakshmi G, Meenakshi Venkatraman, Shruthi Suresh, Supriya P)....Pages 63-75
Sign Language Identification Using Image Processing Techniques (Amelec Viloria, Evelyn Sanchez, Omar Bonerge Pineda Lezama)....Pages 76-86
Hybrid Speckle Reduction Filter for Corneal OCT Images (H. James Deva Koresh, Shanty Chacko)....Pages 87-99
Digital Image Restoration Using Modified Richardson-Lucy Deconvolution Algorithm (J. Jency Rubia, R. Babitha Lincy)....Pages 100-112
A Study of Electronic Health Record to Unfold Its Significance for Medical Reforms (Rugved V. Deolekar, Sunil B. Wankhade)....Pages 113-123
Texture Analysis in Skull Magnetic Resonance Imaging (Amelec Viloria, Ethel de la Hoz, Omar Bonerge Pineda Lezama)....Pages 124-134
Security Analysis for Machine Learning and Image Processing Related Information Systems (Ruchi Sharma, Kiran Davuluri)....Pages 135-147
The High Performance Image Encryption Method Based on HAD-L (P. Mithun, J. Indumathi)....Pages 148-159
Iclique Cloak Approach for Protecting Privacy of Mobile Location with Image Processing Techniques (A. Ayyasamy, L. Sai Ramesh, V. Sathiyavathi)....Pages 160-168
Deep Learning of Robust Representations for Multi-instance and Multi-label Image Classification (Jesus Silva, Noel Varela, Fabio E. Mendoza-Palechor, Omar Bonerge Pineda Lezama)....Pages 169-178
Classification of Mitochondrial Network Images Associated with the Study of Breast Cancer (Jesus Silva, Noel Varela, Esperanza Diaz Arroyo, Omar Bonerge Pineda Lezama)....Pages 179-189
Review on Brain Tumor Segmentation: Hard and Soft Computing Approaches (Prashant Mishra, Adhesh Garg, Diwanshi Gupta, Mayur Tuteja, Prajawal Sinha, Sanjay Saxena)....Pages 190-200
The Appraised Structure for Improving Quality in the Compressed Image Using EQI-AC Algorithm (M. Durairaj, J. Hirudhaya Mary Asha)....Pages 201-217
ExclusiveOR-Discrete Cosine Transform- A Chaotic Algorithm for Image Encryption and Decryption (M. Durairaj, J. Hirudhaya Mary Asha)....Pages 218-232
Privacy Preservation for Continuous Decremental Data Publishing (Surapon Riyana, Nattapon Harnsamut, Uratcha Sadjapong, Srikul Nanthachumphu, Noppamas Riyana)....Pages 233-243
An Effective and Efficient Heuristic Privacy Preservation Algorithm for Decremental Anonymization Datasets (Surapon Riyana, Noppamas Riyana, Srikul Nanthachumphu)....Pages 244-257
A Brain Computer Interface Based Patient Observation and Indoor Locating System with Capsule Network Algorithm (D. A. Janeera, S. Sasipriya)....Pages 258-268
Approach for the Classification of Polliniferous Vegetation Using Multispectral Imaging and Neural Networks (Jesus Silva, Noel Varela, Jorge L. Díaz-Martinez, Javier Jiménez-Cabas, Omar Bonerge Pineda Lezama)....Pages 269-279
Adaptive Ternary Pattern Based on Supervised Learning Approach for Ground-Based Cloud Type Classification (Vinh Truong Hoang)....Pages 280-286
Analyzing User Behavior and Sentimental in Computer Mediated Communication (Abdulrahman Alrumaih, Ruaa Alsabah, Hiba J. Aleqabie, Ahmed Yaseen Mjhool, Ali Al-Sabbagh, James Baldwin)....Pages 287-298
Diabetes Analysis and Risk Calculation – Auto Rebuild Model by Using Flask API (Akkem Yaganteeswarudu, Prabhakar Dasari)....Pages 299-308
Impact of Class Imbalance on Convolutional Neural Network Training in Multi-class Problems (Ahmad Ilham, Jesus Silva, Nohora Mercado-Caruso, Donato Tapias-Ruiz, Omar Bonerge Pineda Lezama)....Pages 309-318
Asset Productivity in Organisations at the Intersection of Big Data Analytics and Supply Chain Management (Jossy P. George, K. Sagar Chandra)....Pages 319-330
Prediction of Intraday Trend Reversal in Stock Market Index Through Machine Learning Algorithms (K. S. Uma, Srinath Naidu)....Pages 331-341
Survey on Fake News Detection Techniques (Sanjeev M. Dwivedi, Sunil B. Wankhade)....Pages 342-348
Neural Network Configuration for Pollen Analysis (Amelec Viloria, Darwin Mercado, Omar Bonerge Pineda Lezama)....Pages 349-358
Framework to Enhance the Reachability of AI Techniques in Medical (Upasana Gaur, Monika Sharma)....Pages 359-365
Blockchain Based E-Healthcare Record System (Sharyu Kadam, Dilip Motwani)....Pages 366-380
Differential Evolution with Different Crossover Operators for Solving Unconstrained Global Optimization Algorithms (Konjeti Harsha Saketh, Konjeti B. V. N. S. Sumanth, P. V. S. M. S. Kartik, K. S. S. Aneeswar, G. Jeyakumar)....Pages 381-388
Potential Subscriber Detection Using Machine Learning (M. Adithi Mookambal, S. Gokulakrishnan)....Pages 389-396
Efficient Deep Learning Approach for Multi-label Semantic Scene Classification (D. Senthilkumar, C. Akshayaa, D. George Washington)....Pages 397-410
Identification of Plant Diseases Using Machine Learning: A Survey (Snehal Andhare, Sunil Wankhade)....Pages 411-421
GigaHertz: Gesture Sensing Using Microwave Radar and IR Sensor with Machine Learning Algorithms (Misbah Ahmad, Milind Ghawale, Sakshi Dubey, Ayushi Gupta, Poonam Sonar)....Pages 422-434
A Machine Learning Approach to Classify Dengue Outbreak in Tropical Conditions (G. S. S. Raj Kiran, Palakodeti Rohit, Katapally Manognya, K. Likhith, N. V. Ganapathi Raju, K. Prasanna Lakshmi)....Pages 435-447
A Blockchain-Based Decentralized Framework for Crowdsourcing (Neha More, Dilip Motwani)....Pages 448-460
Damping Percentage Detection Using Unconventional Methods (Tushar Bansal, Sanjhi Singhal, Suprita Deswal, S. T. Nagarajan)....Pages 461-471
Mining Temporal Sequence Patterns Using Association Rule Mining Algorithms for Prediction of Human Activity from Surveillance Videos (D. Manju, V. Radha)....Pages 472-483
Healthcare Analytics: Overcoming the Barriers to Health Information Using Machine Learning Algorithms (A. Veena, S. Gowrishankar)....Pages 484-496
A Prediction of Heart Disease Using Machine Learning Algorithms (Mohd Faisal Ansari, Bhavya Alankar, Harleen Kaur)....Pages 497-504
Multi-lingual Author Profiling: Predicting Gender and Age from Tweets! (Md. Ataur Rahman, Yeasmin Ara Akter)....Pages 505-513
Implementation of Black Box System for Accident Analysis Using Raspberry Pi (Pravin Kumbhar, Sudhakar R. Barbade, Utkarsh H. Jain, Chetan L. Chintakind, Aditya Harish Barhanpurkar)....Pages 514-525
CORONA-19 NET: Transfer Learning Approach for Automatic Classification of Coronavirus Infections in Chest Radiographs (Sukkrit Sharma, Smaranjit Ghose, Suhrid Datta, C. Malathy, M. Gayathri, M. Prabhakaran)....Pages 526-534
An IoT-Based Heart Disease Detection System Using RNN (Ashif Newaz Shihab, Miftahul Jannat Mokarrama, Rezaul Karim, Sumi Khatun, Mohammad Shamsul Arefin)....Pages 535-545
A Framework for Checking Plagiarized Contents in Programs Submitted at Online Judging Systems (Jannatul Ferdows, Sumi Khatun, Miftahul Jannat Mokarrama, Mohammad Shamsul Arefin)....Pages 546-560
Developing an IoT Based Water Pollution Monitoring System (Md. Mazharul Islam, Mohammad Shamsul Arefin, Sumi Khatun, Miftahul Jannat Mokarrama, Atqiya Munawara Mahi)....Pages 561-573
An Innovative Approach for Aerial Video Surveillance Using Video Content Analysis and Indexing (Jaimon Jacob, M. Sudheep Elayidom, V. P. Devassia)....Pages 574-583
Developing a Framework to Identify Potential Firms for Job Assignment (Ariful Islam, Miftahul Jannat Mokarrama, Rezaul Karim, Mohammad Shamsul Arefin)....Pages 584-593
Developing a Framework for Trend Prediction of Stocks Prices (Mohammad Tauhidul Islam, Rezaul Karim, Sumi Khatun, Mohammad Shamsul Arefin)....Pages 594-606
Machine Learning Based Diagnosis of Alzheimer’s Disease (M. Karthiga, S. Sountharrajan, S. S. Nandhini, B. Sathis Kumar)....Pages 607-619
IoT Based Vehicle (Car) Theft Detection (Rajasekhar Kommaraju, Rangachary Kommanduri, S. Rama Lingeswararao, Boyapati Sravanthi, Cherukumalli Srivalli)....Pages 620-628
EMG Signal Classification with Effective Features for Diagnosis (Abdul Wadud, Md. Imran Hossain Showrov)....Pages 629-637
Eye Fatigue Algorithm for Driver Drowsiness Detection System (Teik Jin Lim, Hung Yang Leong, Jia Yew Pang, Mohd Rizon Mohamed Juhari)....Pages 638-652
An Analytical Approach for Recognizing the Occupational Gender Bias in the Data Systems (Pranav Rai, P. N. Kumar)....Pages 653-661
Highly Protective Framework for Medical Identity Theft by Combining Data Hiding with Cryptography (Babu Illuri, Deepa Jose)....Pages 662-671
Improving the Prediction Accuracy of ASD Using Class Imbalance Mitigation Technique (S. Pushpa, K. Ulaga Priya)....Pages 672-684
Stock Price Prediction Based on Technical Indicators with Soft Computing Models (S. Kumar Chandar)....Pages 685-699
Credit Card Fraud Detection Technique Based on Hybrid Classification (Priya Gandhi, Vikas Khullar)....Pages 700-710
Improved Fast Block Matching Motion Estimation Using Multiple Frames (K. Priyadarshini, A. K. Thasleem Sulthana)....Pages 711-717
Efficient Framework for Identification of Soybean Disease Using Machine Learning Algorithms (Sachin Jadhav, Vishwanath Udupi, Sanjay Patil)....Pages 718-729
Brain Image Visualization (Anson Antony, Sahil Bhirud, Abhishek Raj, Niranjan Bhise)....Pages 730-734
A Framework for Degraded Kannada Character Recognition (N. Sandhya, R. Krishnan, D. R. Ramesh Babu)....Pages 735-745
Classification of Soybean Diseases Using Pre-trained Deep Convolutional Neural Networks (Sachin Jadhav, Vishwanath Udupi, Sanjay Patil)....Pages 746-756
Feedforward Back Propagation Neural Network (FFBPNN) Based Approach for the Identification of Handwritten Math Equations (Sagar Shinde, Lalit Wadhwa, Daulappa Bhalke)....Pages 757-775
Ritchie’s Smart Watch Data Analytics and Visualization (Nandireddy Chaitanya Nath Reddy, Aditya Ramesh, Rajkumar Rajasekaran, Jolly Masih)....Pages 776-784
Sentiment Analysis for Product Rating Using Classification (K. Govinda, K. Naveenraj, Somula Rama Subba Reddy)....Pages 785-793
Face Recognition System Using a Hybrid Scale Invariant Feature Transform Based on Local Binary Pattern (M. Koteswara Rao, K. Veera Swamy, K. Anitha Sheela)....Pages 794-804
Correction to: A Prediction of Heart Disease Using Machine Learning Algorithms (Mohd Faisal Ansari, Bhavya Alankar, Harleen Kaur)....Pages C1-C1
Back Matter ....Pages 805-807