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Information and software technologies : 31st international conference, ICIST 2025, Kaunas, Lithuania, October 16-17, 2025, proceedings / Audrius Lopata, Daina Gudonienė, Jonas Čeponis, editors.
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Conference/Event
- Conference Name:
- ICIST (Conference) (31st : 2025 : Kaunas, Lithuania)
- Series:
- Communications in computer and information science ; 1865-0937 2871.
- Communications in computer and information science, 1865-0937 ; 2871
- Language:
- English
- Subjects (All):
- Computer science--Congresses.
- Computer science.
- Software engineering--Congresses.
- Software engineering.
- Genre:
- proceedings (reports)
- Conference papers and proceedings.
- Physical Description:
- 1 online resource (xiv, 430 pages) : illustrations (chiefly color).
- Other Title:
- ICIST 2025
- Place of Publication:
- Cham, Switzerland : Springer, [2026]
- Summary:
- This book constitutes the refereed proceedings of the 31st International Conference on Information and Software Technologies, ICIST 2025, held in Kaunas, Lithuania, during October 16–17, 2025. The 34 full papers included in this volume were carefully reviewed and selected from 89 submissions. They are organized in topical sections as follows:Intelligent Methods for Data Analysis and Computer-Aided Software Engineering; Intelligent Systems and Software Engineering Advances; E-Learning Methods and Technologies; E-Health Information Systems; and Cyber Security.
- Contents:
- Novel pinch strategy using flexo/extensor tendons for a robotic scrub nurse gripper : a preliminary study / Manish Shukla, Domenico Prattichizzo, and Gionata Salvietti
- A case study of detecting nutrient deficiencies in corn using multispectral satellite imagery / Gintautas Šedys, Mantas Lukoševicius, Ernestas Petrauskas, Arturas Gotceitas, Ernestas Zaleckas, and Martynas Greicius
- Suspicious model detection to improve model-based system development / Marwareed Rehman, Muhammad Waseem Anwar, Farooque Azam, and Saliha Ejaz
- Model-driven framework for embedded systems design automation using natural language processing and large language models / Muhammad Waseem Anwar, Bilal Maqbool, and Muhammad Shahroze Ali
- Emotional speech synthesis approach using prosody-based clustering / Arnas Radzevicius, Žygimantas Girdauskas, Rokas Sabaitis, and Aistis Raudys
- Taxonomic classification of gene sequences using deep learning / Anna Zakharenko, Yuri Gordienko, and Olga Rusanova
- Improving the performance of the Ada-DF framework on regular and small datasets / Valentyna Starodub, Armantas Ostreika, Marius Pivoras, Leo Onyema Sochi Muoghara, Philip Sowah Patterson, and Gulshan Tarverdiyeva
- Deep generative models as the probability transformation functions / Vitalii Bondar, Vira Babenko, Roman Trembovetskyi, Yurii Korobeinyk, and Viktoriya Dzyuba
- Optimizing SQL-on-Hadoop engines for scalable data analytics : a hybrid approach to resource allocation and performance tuning / Sadanand Sundaray
- Modern AI methods comparison for HeLa cell segmentation / Lukas Keršys, Andrius Krišciunas, and Tadas Kraujalis
- Investigation of a provable data possession method for the virtual machine file system / Dangis Rimkus, Vytautas Barauskas, Darius Naujokaitis, Kestutis Paulikas, and Aušra Gadeikyte
- A descent–ascent principle-based heuristic algorithm for the quadratic assignment problem / Alfonsas Misevicius, Gintaras Palubeckis, Dovile Verene, and Gintare Žekiene
- Optimizing echo-state networks for unemployment forecasting using a modified metaheuristic / Aleksandar Petrovic, Luka Jovanovic, Tamara Živkovic, Miodrag Živkovic, Branislav Radomirovic, Vico Željkovic, Mirjana Tomic, and Nebojša Bacanin
- Impact of smaller datasets on training and fine-tuning for novel view synthesis and 3D reconstruction / Arminas Šidlauskas and Andrius Krišciunas
- Comparison of a metaheuristic algorithm and enhanced hybrid algorithms for inverse problem in computed tomography / Jakub Miarka, Mateusz Goik, Rafal Brociek, Mariusz Pleszczynski, and Andrzej Sikora
- Dynamic injection of LoRA adapters via prompt semantics for modular stylization in diffusion models / Alicja Polowczyk and Agnieszka Polowczyk
- Enhancing artificial bee colony performance with the Nelder–Mead method / Mateusz Goik, Jakub Miarka, Rafal Brociek, and Adam Zielonka
- Artificial intelligence and inclusive education : what is the teacher’s vision for the future? / Laura Daniuseviciute-Bražaite, Lina Gaižiuniene, and Raminta Pucetaite
- An interdisciplinary approach to tackling the field of human factors in the cybersecurity of financial organizations : concepts, strategies, and recommendations / Eva-Maria Griesbacher, Martin Griesbacher, Paul Rabel, and Robin Renwick
- The practices of applying artificial intelligence in engineering education / Daina Gudoniene, Donatas Iliška, Gintaras Palubeckis, Alfonsas Misevicius, Donata Šermukšne, Pijus Balcius, Justyna Janik, Bozena Majerek, and Yolanda Escudero Martín
- Detecting stressful driving situations using wearable PPG sensors : a case study / Egle Butkeviciute, Tomas Blažauskas, Mindaugas Vasiljevas, Mantas Lukoševicius, Mikas Binkis, Benas Ranauskas, Dominykas Barisas, and Lukas Paulauskas
- Virtual reality during wound dressing changes and injections among children in community nursing : implementation in practice / Evelina Stancaite and Lina Spirgiene
- Application of information technologies in healthcare education, research, and practice : Lithuanian case / Evelina Aluzaite, Patrikas Armalis, Egle Butkeviciute, Povilas Ignatavicius, Rima Kregždyte, Kristina Mikkonen, Lina Spirgiene, Andrejus Subocius, Jurate Tomkeviciute, and Olga Riklikiene
- Structuring immersion levels in the reality–virtuality continuum : a multi-sensory approach / Filippo Sanfilippo, Patrikas Armalis, Ugne Auksoraityte, and Tomas Blažauskas
- A quantitative security framework for evaluating cyber resilience and energy efficiency of IoT MQTT protocol / Edgaras Baranauskas, Šarunas Grigaliunas, and Rasa Bruzgiene
- Data protection standards in the quantum era / Maksim Iavich and Oksana Kovalchuk
- KG-AndroidDefender : knowledge graph embedding for explainable malware family classification / Chen Yi, Junping Zhou, Fangbing Yue, and Guoai Xu
- A privacy- and security-focused system for customer data management in e-commerce / Linas Ablonskis, Rimantas Butleris, Audrius Lopata, Giedrius Sirevicius, Simonas Stepanovas, and Mindaugas Vasiljevas
- Cybersecurity certification-based program for hardware security systems / Kyriaki Tsantikidou, Valeria Loscri, and Nicolas Sklavos
- The impact of threats in cyberspace on the process of internet fragmentation / Vladimer Svanadze, Maksim Iavich, and Giorgi Iashvili
- Deep neural network-based framework for enhanced malware variant detection / Wei Dai, Junping Zhou, Fangbing Yue, and Guoai Xu
- Strengthening KPI correlation analysis with machine learning for deeper financial insights / Ilona Veitaite, Audrius Lopata, and Saulius Gudas
- Comparative analysis of generative AI model efficiency in chief information security officer (CISO) tasks / Renata Danieliene, Kestutis Driaunys, Ilona Veitaite, Martynas Bartnykas, Rokas Stankunas, Ieva Šilingaite, and Dainora Kuliešiene
- Enhancing static code analysis with AI-assisted detection of security vulnerabilities and code quality issues / Augustinas Labutis, Jonas Ceponis, and Šarunas Grigaliunas.
- Notes:
- International conference proceedings.
- Includes bibliographical references and index.
- Online resource; title from PDF title page (Springer Nature Link, viewed April 22, 2026).
- Other Format:
- Print version: ICIST (Conference) (31st : 2025 : Kaunas, Lithuania) Information and software technologies
- ISBN:
- 9783032168085
- 3032168082
- OCLC:
- 1586814647
- Access Restriction:
- Restricted for use by site license
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