Pal / Malhotra / Gupta | Emerging Technology and Sustainable Solutions | Buch | 978-3-032-11490-7 | www.sack.de

Buch, Englisch, 378 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 593 g

Reihe: Communications in Computer and Information Science

Pal / Malhotra / Gupta

Emerging Technology and Sustainable Solutions

Second International Conference, ICETSS 2024, Punjab, India, October 8-9, 2024, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-11490-7
Verlag: Springer

Second International Conference, ICETSS 2024, Punjab, India, October 8-9, 2024, Proceedings, Part II

Buch, Englisch, 378 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 593 g

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-11490-7
Verlag: Springer


Pal / Malhotra / Gupta Emerging Technology and Sustainable Solutions jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- Adaptive Traffic Signal Control Using Integrated Security and Computer Vision for Congestion Management.
.-  Real-time Defect Detection and Classification in Fasteners.
.- Design of Indian Sign Laguage Interpretation System using Transfer Learning VGG16 model.
.- Performance Assessment of Loop-cutting 10T Static Random Access memory cell For High Performance Computation.
.- The Smart Pour: An Embedded System Design for Milk Testing and Dispensing.
.- Parameter Estimation for a Double Diode Solar PV Model Using a Chaotic Grey Wolf Optimization.
.- Design and Analysis of Wideband Rectifier for Harvesting low power RF signal from Wireless Communication Networks.
.- CT-Based Brain Disease Classification Using Fine-Tuned Transfer Learning Models and Custom Convolutional Neural Network.
.- Development of Wireless Communication technologies from 1G to sustainable 6G.
.- Ligature Segmentation in Sindhi Optical Character Recognition.
.- Enhanced Image Compression and Reconstruction Using DWT and IDWT with Multiple Wavelet Functions.
.- Optimizing Supply Chain Management with Blockchain and Machine Learning Integration.
.- AI based Sustainable Innovations in field of Optometry Care.
.- Transforming Healthcare: The Positive Effects of Telemedicine on sustainable Patient Outcomes solution.
.- Bitterness Modulation in Green Tea with Shellac: A ChemFET Sensor-Based Approach.
.- A novel device for rapid determination of iodine value of edible oils and fats.
.- Estimation of Noise Threshold of Pulse Sensor Signal Using Wavelet Transform.
.- Deep learning based automatic PCB defect detection.
.- Stock Market Forecasting Using Machine Learning Techniques.
.- Diagnosis of Breast Cancer by using Deep Learning Techniques: A Review.
.- Design and Implementation of UART Using FPGA Board.
.- Automated IoT Water Management System for Multi-Story Buildings in Smart Cities.
.- Enhancing Safety through Machine Learning and IoT Integration.
.- A Critical Overview on using Image Computing Techniques for Threat Identification.
.- Fuzzy Systems for Diagnosis of Liver Disorders: A Comprehensive Review.
.- An Eco-friendly Antenna for 6G Communication Enabling Sustainable Infrastructure.
.- Methodology for Implementation of Seamless Mobile IP and Mobility Management in NextGen Wireless Systems.
.- Low-Leakage Techniques Comparison For Static Random Access Memory Bit-cell.
.- Optimizing PSNR and MSE in LSB-Based Watermarking with Noise Analysis.
.- Robotic Seed Drill: A Smart solution to Precision Farming.
.- A Review on Opportunities in 6G and Beyond: Applications and Challenges.
.- Wideband Ring Slotted, Rectangular Microstrip Patch Antenna for Wireless Applications.
.- A Comprehensive Review of Machine Learning and Deep Learning-Based Natural Language Processing Techniques.
.- Design, Optimization and Analysis of Gap-Coupled Microstrip Patch antenna for Wearable Applications.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.