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ORCIDAMLDA 2023: Lübeck, Germany
- M. Akhil Jabbar
, Sanju Tiwari, Fernando Ortiz-Rodríguez, Sven Groppe, Tasneem Bano Rehman:
Applied Machine Learning and Data Analytics - 6th International Conference, AMLDA 2023, Lübeck, Germany, November 9-10, 2023, Revised Selected Papers. Communications in Computer and Information Science 2047, Springer 2024, ISBN 978-3-031-55485-8 - Thomas Sievers, Ralf Möller:
Get It Right: Improving Comprehensibility with Adaptable Speech Expression of a Humanoid Service Robot. 1-14 - Ali Mert Erdogan, Onur Dogan:
Process Selection for RPA Projects with MDCM: The Case of Izmir Bakircay University. 15-28 - Yuvraj Singh, Devangana Sujay, Shishir Kumar Shandilya, Smita Shandilya:
The Metaverse: A Multidisciplinary Perspective on the Future of Human Interaction. 29-43 - Ishaan Tyagi, Rajat Gupta, Divya Upadhyay, Ashwani Kumar Dubey:
Blockchain - A Secure and Transparent Solution to Detect Counterfeit Products. 44-53 - V. B. Gupta, Shishir Kumar Shandilya, Chirag Ganguli, Gaurav Choudhary:
Data-Driven Approach to Network Intrusion Detection System Using Modified Artificial Bee Colony Algorithm for Nature-Inspired Cybersecurity. 54-66 - Deepali Rahul Vora, Rupali Choudhary, Aman Kumar, Payal Kadam:
Forecasting User Payment Behavior Using Machine Learning. 67-80 - Bhrugesh Jadav, Sashikala Mishra, Pooja Bagane, Ranjeet Vasant Bidwe:
An Efficient Image Dehazing Technique Using DSRGAN and VGG19. 81-96 - Hritwik Ghosh, Irfan Sadiq Rahat, Rasmita Lenka, Sachi Nandan Mohanty, Deepak Chauhan:
Benchmarking ML and DL Models for Mango Leaf Disease Detection: A Comparative Analysis. 97-110 - Irfan Sadiq Rahat, Hritwik Ghosh, Janjhyam Venkata Naga Ramesh, Ajmeera Kiran, Poonam Verma:
Cassava Syndrome Scan a Pioneering Deep Learning System for Accurate Cassava Leaf Disease Classification. 111-123 - Daniel E. Asuquo, Kingsley Attai, Patience U. Usip, Uduak D. George, Francis Bukie Osang:
Aspect-Based Sentiment Classification of Online Product Reviews Using Hybrid Lexicon-Machine Learning Approach. 124-143 - Gerard Deepak, Harshada Vinay Anavkar:
DESI: Diversification of E-Commerce Recommendations Using Semantic Intelligence. 144-155 - Samuel S. Udoh, Patience U. Usip, Uduak D. George, Imeobong E. Akpan:
Adaptive Neuro Fuzzy-Based Depression Detection Model for Students in Tertiary Education. 156-167 - Preethi Nanjundan, Jossy P. George, Abhijeet Birari, Pamidimukkala Sai Geetha, Manka Manwali:
Optimizing Portfolio for Highly Funded Industries Within Budget Constraints for the Period of 2023-2024. 168-179 - Devraj Deshmukh, Nishant Mishra, Kshitij Tripathi, Rohan Menon, Amit Aylani:
AI Insights: Unleashing Financial Distress Signals. 180-198 - S. Karthika, G. Padmavathi:
Intensity-Chromaticity-Luminance (ICL) Based Technique for Face Spoofing Detection. 199-214 - Zeinab Sadat Rabani, Hanieh Khorashadizadeh, Shirin Abdollahzade, Sven Groppe, Javad Ghofrani:
Developers' Perspective on Trustworthiness of Code Generated by ChatGPT: Insights from Interviews. 215-229 - Josimar E. Chire Saire, Anabel Pineda-Briseño, Jimy Frank Oblitas Cruz:
Sentiment Analysis of Monkeypox Tweets in Latin America. 230-245 - David Valle-Cruz, Vanessa Fernandez-Cortez, Asdrúbal López-Chau, Rafael Rojas-Hernández:
Stock Market Prediction with Artificial Intelligence Techniques in Recession Times. 246-263 - Thorben Schomacker, Michael Gille, Marina Tropmann-Frick, Jörg von der Hülls:
Self-regulated and Participatory Automatic Text Simplification. 264-273
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