Torrent details for "Khalib Z. Advances in Artificial Intelligence..Electronic Design…" Log in to bookmark
Controls:
×
Report Torrent
Please select a reason for reporting this torrent:
Your report will be reviewed by our moderation team.
×
Report Information
Loading report information...
This torrent has been reported 0 times.
Report Summary:
| User | Reason | Date |
|---|
Failed to load report information.
×
Success
Your report has been submitted successfully.
Checked by:
Category:
Language:
None
Total Size:
38.4 MB
Info Hash:
FFFB4258CF0127F59EE1B3DA0C4C05C0422B0AD9
Added By:
Added:
April 20, 2026, 11:36 a.m.
Stats:
|
(Last updated: April 20, 2026, 11:41 a.m.)
| File | Size |
|---|---|
| Khalib Z. Advances in Artificial Intelligence..Electronic Design Technolog. 2025.pdf | 38.4 MB |
NOTE
SOURCE: Khalib Z. Advances in Artificial Intelligence..Electronic Design Technolog. 2025
-----------------------------------------------------------------------------------
COVER
-----------------------------------------------------------------------------------
MEDIAINFO
Textbook in PDF format This book showcases innovative approaches driving advancements in relevant fields such as smart manufacturing, Industry 5.0, and robotics. This edition of the Springer Studies in Computational Intelligence (SCI) Series explores cutting-edge applications of Computational Intelligence (CI). Designed for engineers, industry professionals, and applied researchers, this book effectively bridges theory and real-world implementation. Through a diverse collection of case studies and practical examples, readers will discover how Computational Intelligence techniques solve complex challenges across various sectors. The book offers actionable deployment strategies, empowering professionals to apply these concepts in their fields. This book cultivates a holistic approach to innovation and problem-solving by synthesizing diverse perspectives within Computational Intelligence. This book is an essential resource for practitioners and researchers. It features hands-on implementation insights, comprehensive coverage of emerging trends, and a focus on industry-relevant techniques. It equips readers with the knowledge and tools to harness Computational Intelligence, tackle real-world challenges, and drive meaningful progress in their respective domains. This book contains 50 papers pertaining to the abovementioned topics, providing a rich and diverse exploration of Computational Intelligence applications and methodologies. Preface I. Intelligence Immunity Booster Bangladeshi Medical Plants Recognition Using CNN: A Deep Learning Approach Seismic Data Quality Analysis Using Fuzzy Logic Enhancing RFID Antenna Design: XG Boost-Driven Machine Learning Optimization of Encapsulated Circular Loop Antenna Weed Detection and Removal Using Robotic Arm with Mask R-CNN GSTLB-GPS Enabled Secured Software Defined Network using Transfer Learning and BlockChain Technology for Industrial IoT (IIoT) Developing Image Deepfake Detection System Using the MesoNet Algorithm: A Comprehensive Approach Weedy Rice Detection Mobile Apps Using Convolutional Neural Network Uncertainty-Based Active Learning for Underwater Image Annotation Circular Patch Antenna Classification Based on Radiation Pattern Revolutionizing E-waste Classification: The Role of AI and Image Processing Techniques in Sustainable Recycling Verification of Battery Initial Conditions for Battery Sizing in Microgrids Using Two-Way ANOVA and MRFO Convolutional Neural Network (CNN) for Image Forgery Detection Machine Learning for Classification of Circular Patch Antenna Based on Resonance and Impedance Matching Deep Learning-Based System for Quranic Verse Recitation Verification Design of Four-Port Antenna for Human Activity Recognition in Ambient Backscatter Communications Systems at 433 MHz Classification of Patch Antenna Acceptance Based on Antenna Gain Using Machine Learning Performance Enhancement for Multi?path Hybrid Spectrum Sensor Using Adaptive Threshold Optimization in Cognitive Radio Malaysian Sign Language Recognition for Static Gestures Using Transfer Learning Technique Effects of Routing Protocol Parameters to Improve Network Performances in MANET A Systematic Review of Attention Mechanisms in UNet Models for Medical Image Segmentation Automated Diabetic Retinopathy Detection: A Deep Learning-Based Approach Evaluation of Particulate Matter Concentrations Across Diverse Urban and Rural Locations Using Machine Learning Analysis of Feature Extraction on U-Net Wavelet and Clarify Net in Image Defogging Optimizing the TSP-D with Pity Beetle Algorithm to Minimize the Delivery Completion Time for UAV Routing Problems Student Academic Guidance System Using Rule Based Expert System Integrated IoT and Machine Learning System for Solar Energy Monitoring on Small Farms Evaluation of Digit Recognition Performance for Automatic Electric Meters Reading System Multiclass Classification of Lung Cancer with SVM and XGBoost with 20+ Features Analysis of Dielectric Resonator Antenna (DRA) Using Machine Learning Optimization Approach A Study on Feature Extraction Methods for Effective Malware Detection: DCT, LBP, and HOG Combined CNN Based Computer Imaging and Electromagnetic Sensing Analysis for Mango Quality Detection Classification of Mango Ripeness Grades Using Machine Learning Transfer Learning in Alzheimer’s Disease Diagnosis: A Comparative Study of Pretrained Models Nearest Decimal Approach Method of IP Addressing for Variable Length Subnet Mask Calculation: Myanmar IXP Model II. Electronics
×