Buy Artificial Intelligence XLII by Max Bramer at Bookstore UAE
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer science > Artificial intelligence > Artificial Intelligence XLII: 45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I(16301 Lecture Notes in Computer Science)
Artificial Intelligence XLII: 45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I(16301 Lecture Notes in Computer Science)

Artificial Intelligence XLII: 45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I(16301 Lecture Notes in Computer Science)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

This two-volume set, LNAI 16301 and LNAI 16302, constitutes the refereed proceedings of the 45th SGAI International Conference on Artificial Intelligence, AI 2025, held in Cambridge, UK, during December 16-18, 2025. The 47 full papers and 20 short papers presented in these two volumes were carefully reviewed and selected from 93 submissions. The papers are grouped into these topical sections:  Part I: Technical Papers; Deep Learning; Large Language Models; Machine Learning; Neural Networks;  Techniques of AI and Short Technical Papers. Part II: Application Papers; Evolutionary Algorithms; Machine Learning; Neural Networks; Medical Computing and Health Informatics; Large Language Models; Natural Language Processing and Machine Vision; Applications of Artificial Intelligence and Short Application Papers.

Table of Contents:
.- Technical Papers. .- DESS: Dimensional-PDFs for Embedding Space Sampling (Best Technical Paper. .- Deep Learning. .- A Hybrid Reasoning System for Visual Arithmetic Learning. .- NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis. .- This Looks Like That and That and That: Multi-objective Optimization for Diverse Prototype Learning. .- Large Language Models. .- Mass-Scale Analysis of In-the-Wild Conversations Reveals Complexity Bounds on LLM Jailbreaking. .- Data and Knowledge-Driven Approach for Energy Profiling in Smart Context-Aware Buildings. .- Retry and Refine: A Multi-Agent Framework for LLM Based Reliable Unit Test Generation. .- English K_Quantization of LLMs Does Not Disproportionately Diminish Multilingual Performance. .- Rethinking the Illusion of Thinking. .- TravQuery: A Customer Support Chatbot based on Retrieval Augmented Generation (RAG). .- Machine Learning. .- 6D Grasp Pose Estimation using Machine Learning with Synthetic Data: Explainable Grasping with Point Cloud Networks. .- A New Longitudinal Classification Method Based on Stacking Predictions for Separate Time Points. .- Measuring and Comparison of the Energy Consumption of different Machine Learning Methods. .- Machine Learning-Enhanced Production Frontier Estimation: An EATBoosting Variant. .- A Comparative Study of Feature Selection in Tsetlin Machines. .- MTL-LungNet: A Unified Model for Nodule Segmentation and Malignancy Classification. .- Neural Networks. .- Two-Stage Graph Convolutional Framework for Pipeline Leak Detection and Size Identification. .- TamilSandhi: A Neuro-Symbolic AI toolkit for correcting Sandhi errors in Tamil. .- Techniques of AI. .- Navigating the N-Person Prisoners` Dilemma: From the Tragic Valley to the Collaborative Hill. .- Evolutionary Harnessing of Sneak Currents of 1R Memristive Crossbar. .- Short Technical Papers. .- Bias Detection in Online Higher Education Texts: Comparing Fine-Tuned and Zero-Shot LLM Approaches. .- Enhancing Deepfake Detection with Audio Spectrograms and Siamese Networks. .- Learning to Navigate and Track: A Decentralized RL Framework for UAV Operations in GNSS-Denied Terrain. .- Dynamic Fusion of Structured Covariates into Deep Signal Backbones. .- Global Explanations for Imitation Learning. .- Attention or Convolution? Comparing Modern Architectures for Stress Detection on BVP Image Encodings. .- High-Confidence Clustering and Lightweight U-Net for SAR Change Detection. .- Towards a Technical Definition of Artificial Intelligence and Machine Learning Software Systems.


Best Sellers


Product Details
  • ISBN-13: 9783032114013
  • Publisher: Springer Nature Switzerland AG
  • Publisher Imprint: Springer Nature Switzerland AG
  • Height: 235 mm
  • No of Pages: 331
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Series Title: 16301 Lecture Notes in Computer Science
  • Width: 155 mm
  • ISBN-10: 3032114012
  • Publisher Date: 20 Dec 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Returnable: N
  • Sub Title: 45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Artificial Intelligence XLII: 45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I(16301 Lecture Notes in Computer Science)
Springer Nature Switzerland AG -
Artificial Intelligence XLII: 45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I(16301 Lecture Notes in Computer Science)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Artificial Intelligence XLII: 45th SGAI International Conference on Artificial Intelligence, AI 2025, Cambridge, UK, December 16-18, 2025, Proceedings, Part I(16301 Lecture Notes in Computer Science)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!