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12th Intelligent Systems 2024: Varna, Bulgaria
- 12th IEEE International Conference on Intelligent Systems, IS 2024, Varna, Bulgaria, August 29-31, 2024. IEEE 2024, ISBN 979-8-3503-5098-2
- Tobias Waibel, Andreas Ciossek, Stefan Mühl:
Lessons Learned: How Insights from Competitions Can Improve Products for Emergency Situations. 1-5 - Bern Igoche Igoche, Olumuyiwa Matthew, Peter Bednár, Alexander E. Gegov:
Leveraging Structural Causal Models for Bias Detection and Feature Adjustment in Machine Learning Predictions. 1-7 - Prathibha P. G, Tamizharasan P. S:
VAD-Lite: A LightWeight Video Anomaly Detection Framework Based on Attention Module. 1-6 - Kunal Goyal, Shreya Goyal:
Predicting PM2.5 Air Quality Using Random Forest Regression Enhanced with Polynomial Features. 1-6 - Olha Chala, Anatoliy Sachenko, Yevgeniy V. Bodyanskiy, Leonid Bytsyura, Agnieszka Molga:
Probabilistic Neuro-Fuzzy System Based on Greed Partitioning Input Space and It's Fast Combined Learning. 1-5 - Nuha Alghamdi, Alexandra I. Cristea:
Integrating Speech Input in Educational Immersive Virtual Reality Applications: A Systematic Review. 1-8 - Ali Akbar ForouzeshNejad, Farzad Arabikhan, Nigel Williams, Alexander E. Gegov, Omer Faruk Sari, Mohamed Bader:
Agile Project Status Prediction Using Interpretable Machine Learning. 1-8 - Pablo Alonso, Maider Larrazabal, Aitor Iglesias, Nerea Aranjuelo, Mikel Labayen, Marcos Nieto:
Real-Time Multi-Camera System for on-Board Train Path Estimation. 1-8 - Daniel Rusev, Mihaela Rusev, Stanimir Stoyanov, Veneta Tabakova-Komsalova:
Imaging in a Smart Agriculture Platform. 1-6 - Mihaela Rusev, Daniel Rusev, Veneta Tabakova-Komsalova, Lyubka Doukovska:
Anomaly Identification in a Smart Farming Platform. 1-6 - Abdorasoul Ghasemi, Melanie Schranz:
Bottom-Up Resource Orchestration in Edge Computing: An Agent-Based Modeling Approach. 1-7 - Aryan Satwani, Keane Coutinho, Neha John, J. Angel Arul Jothi:
Live Cricket Predictions for Runs and Win Using Machine Learning. 1-6 - Mustafa Hajmohammed, Panagiotis Chountas, Thierry J. Chaussalet:
Concept Drift Complexity for Assessing Sampling-Induced Concept Drift in Class-Imbalanced Data Streams. 1-5 - Volkan Ince, Mohamed Bader-El-Den, Farzad Arabikhan, Omer Faruk Sari:
Machine Learning for Bacterial Growth Prediction and Examination of Bacterial Impact on Growth. 1-6 - Anika Tahsin Hridi, Saad Abdullah, Md. Amrin Ibna Hasnath, Rashida Hossain Adiba, Samia Proma, Rashedur M. Rahman:
Identifying Threats on Social Media to Spot Offensive Behavior. 1-7 - Nikolay Penchev, Angel Marchev:
On the Application of Neural Networks in Credit Scoring: A Case-Study Analysis. 1-4 - Kurt Englmeier, Pedro Contreras:
How AI can Help Learners to Develop Conceptual Knowledge in Digital Learning Environments. 1-6 - Mariame Elsalhy, Manar Abu Talib, Sohail Abbas, Qassim Nasir:
Investigating the Implementation of the Artificial Bee Colony Using the ArcGIS Environment: Dubai Drone Box Platform Case Study. 1-6 - Bernard Tomczyk, Plamen Angelov, Dmitry Kangin:
Machine Learning within Latent Spaces formed by Foundation Models. 1-10 - Sergey Vichev, Angel Marchev:
RAGSQL: Context Retrieval Evaluation on Augmenting Text-to-SQL Prompts. 1-6 - Mayukh Maitra, Surabhi Sinha, Tomas Kierszenowicz:
An Improved BERT Model for Precise Job Title Classification Using Job Descriptions. 1-6 - Lyubka Doukovska, Vassil Sgurev, Ekaterina Tsopanova, Radoy Dukovski:
Network Flow Systems for Decision Making with Motivation Accounting. 1-5 - Irina Radeva, Ivan P. Popchev, Miroslava Dimitrova:
Similarity Thresholds in Retrieval-Augmented Generation. 1-7 - George Mengov, Iliyan Nenov, Kaloyan Ganev, Ralitsa Simeonova-Ganeva:
Neurocomputational Forecasting of Economic Shocks. 1-5 - Masaki Ikeda, Konstantin Markov:
FastSpeech2 Based Japanese Emotional Speech Synthesis. 1-5 - Mohammad Hossein Amirhosseini, Adefemi Lawrence Ayodele, Amin Karami:
Prediction of Depression Severity and Personalised Risk Factors Using Machine Learning on Multimodal Data. 1-7 - Abhishek Bajpai, Shalinee Sahu, Naveen Tiwari, Vivek Srivastava, Shashank Yadav:
An Efficient Approach for Potato Leaf Disease Classification Using Cascaded CNN-Transformers. 1-6 - Nataliia Kussul, Volodymyr Kuzin, Yevhenii Salii, Bohdan Yailymov, Andrii Shelestov:
Single-polarized SAR Image Preprocessing in Scope of Transfer Learning for Oil Spill Detection. 1-6 - Shahriyar Zaman Ridoy, Jannat Sultana, Zinnat Fowzia Ria, Mohammed Arif Uddin, Md. Hasibur Rahman, Rashedur M. Rahman:
An Efficient Text Cleaning Pipeline for Clinical Text for Transformer Encoder Models. 1-9 - Samuel L. Hennessey, Francis J. Williams, Ludmila I. Kuncheva:
Hierarchical Vs Centroid-Based Constraint Clustering for Animal Video Data. 1-6 - Md Saiful Islam Sajol, A. S. M. Jahid Hasan:
Benchmarking CNN and Cutting-Edge Transformer Models for Brain Tumor Classification Through Transfer Learning. 1-6 - Siddharth Yayavaram, Arnav Yayavaram, Jabez Christopher, Vasan Arunachalam:
Interpretable Feature Optimization for Sadness Recognition in Speech Emotion Analysis. 1-10 - Junhong Xie, Alexandra Grancharova:
Nonlinear Model Predictive Control Based on Deep Learning for Hindmarsh-Rose Neuron Model. 1-6 - Koki Hirota, Kazuyuki Ito:
Bio-Inspired Soft Crawling Robot Which Moves Using Protrusions. 1-6 - Noora Alkharji, Hessa Almazrouei, Shaikha Alzaabi, Ali Bou Nassif, Mariame Elsalhy, Manar Abu Talib:
Aircraft-Type Classification Using Deep Learning Algorithms. 1-6 - Philipp Hofer, Michael Roland, René Mayrhofer:
BioDSSL: A Domain Specific Sensor Language for Global, Distributed, Biometric Identification Systems. 1-7 - Catalina Agachi, Farshad Arvin, Junyan Hu:
RRT*-Based Leader-Follower Trajectory Planning and Tracking in Multi-Agent Systems. 1-6 - Ivan Lambov, Kim Hamilton Duffy:
Decentralized Identity of Artifacts - System Architecture. 1-7 - Sameer Al-Dahidi, Bilal Rinchi, Mohammad Alrbai, Ali Alahmer:
Enhancing Daily Energy Prediction in Solar Photovoltaic Systems: Weighted k-Nearest Neighbors with Pearson Correlation Integration. 1-6 - Harriet Griffin, Mani Ghahremani, Alexander E. Gegov:
A Fuzzy Expert System Based Extension of SWI-Prolog for Evaluating AI Ethics. 1-6 - Saara Asif, Muhammad Uzair Akmal, Leonid Koval, Selvine G. Mathias, Simon Knollmeyer, Daniel Grossmann:
A Conceptual Framework for Addressing Class Imbalance in Image Data: Challenges and Strategies. 1-9 - Toralf Kahlert:
Application Methodology for Search-Based Applications to Improve the Safety, Quality, and Reliabiliy of ECS-Based Products. 1-8 - Tushar Singh, Sudhakar Kumar, Sunil K. Singh, Vanshika Chilkoti, Shavi Bansal, Kwok Tai Chui, Brij B. Gupta:
Intelligent FaultEdge: AI-Driven Fault-Tolerant Edge Framework for Smart Grid Monitoring in IoT. 1-6 - Saroar Ahmed, Sifat Chowdhury, Rashedur M. Rahman:
Hotel Booking Cancellation with Visual Analytics. 1-8 - Leander J. Féret, Alexander Gepperth, Steven Lambeck:
Enhancing the Robustness of Model-Predictive Control using GMMs as Outlier Detection. 121-129 - Alex Cevallos-Culqui, Claudia Pons, Gustavo Rodríguez:
A Co-Training Model Based in Learning Transfer for the Classification of Research Papers. 1-6 - Vibhum Raj Tripathi, Srikant Tangirala, Divakarla Venkata Sasanka, Dheeraj Reddy, Chinmay S. Dalal, Barsha Mitra:
SINTTRA: Sliding Window Based Temporally Aware Network Traffic Analyzer for IoT Device Fingerprinting. 1-7 - Assiya Boltaboyeva, Nurgul Karymssakova, Madina Mansurova, Baglan Imanbek, Bibars Amangeldy, Nurdaulet Tasmurzayev:
Analyzing the Application of Digital Twin Technology in Manufacturing Processes. 1-6 - Bandar Alotaibi:
Multiple Inputs and Hybrid Deep Learning Model to Identify Suspicious Posts on Social Media. 1-6 - Malinka Ivanova, Tatyana Ivanova, Valentina Terzieva:
Automating Assessment within Intelligent Education. 1-6 - Gelayol Golcarenarenji, Rinat Khusainov, Alexander E. Gegov, Ignacio Martinez-Alpiste:
Detecting Violent Behaviour on Edge Using Convolutional Neural Networks. 1-6 - Manuel S. Neves, Pedro A. Loureiro, Tsonyo Slavov, Petia Georgieva:
End-to-End Learning System for Symbol Decoding in Optical Communication. 1-6 - Rumen Ketipov, Lyubka Doukovska, Emiliya Kotsarova, Atanas Dukovski:
Enhancing User Experience in E-Learning through Incorporation of Personality Traits. 1-8 - Aya Messai, Ahlem Drif, Amel Ouyahia, Meriem Guechi, Mounira Rais, Lars Kaderali, Hocine Cherifi:
Transparent AI Models for Meningococcal Meningitis Diagnosis: Evaluating Interpretability and Performance Metrics. 1-8 - Indika Rajakaruna, Mohammad Hossein Amirhosseini, Yang Li, Deepa Jayakody Arachchillage:
AI-Enhanced Prediction of Multi Organ Failure in COVID-19 Patients. 1-6 - Ivan P. Popchev, Irina Radeva:
Framework for Evaluation of Authentication and Proof-of-Event mechanisms in Smart Contracts. 1-10 - Advika Arya, Farwa Kazmi, Sohail H. Zaidi:
Comparative Analysis of Machine Learning Techniques for Enhanced Predictive Modeling in Healthcare. 1-6 - Ziana Butt, Mustansar Ali Ghazanfar, Mudassar Ali Ghazanfar, Mohamed Bekheit, Nadeem Qazi, Amin Karimi:
Enhanced Prognostication of Liver Metastases Survival: A Fusion of Machine Learning Techniques. 1-11 - Galina Tkach, Nurassyl Kerimbayev, Vladimir Jotsov, Ivan Garvanov, Aliya Akramova:
Mobile Education Agents: A New Paradigm for Personalized Learning. 1-13 - Boyan Bontchev, Hristo Ivanov:
Dynamic Adaptation of Difficulty in Chess. 1-6 - Georgi M. Dimirovski, Guang-Hong Yang, Janusz Kacprzyk:
Does Synergetic Comparison of Chen Pinning Versus Siljak Decentralized Controls Yield Intelligent Dynamic Graphs? 1-16 - Ismael Rhemat, Panagiotis Chountas, Francois Roubert:
On Predictive Big Data Quality. 1-6 - Avinash Khatri, Jaswinder Lota, Prasanna Nepal, Mohammad Hossein Amirhosseini:
Utilising Machine Learning for Precise State-of-Charge Prediction in Li-Ion Batteries. 1-5 - Benjamin Schlup, Andrea Corradini:
A Flexible Multi-Agent Systems Task Environment for Simulating Hybrid Intelligence. 1-7 - Itziar Sagastiberri, Maider Larrazabal, Martí Sánchez, Nerea Aranjuelo, Marcos Nieto, Daniel Ochoa de Eribe:
Annotation Pipeline for Railway Track Segmentation. 1-8 - Volkan Ince, Mohamed Bader-El-Den, Omer Faruk Sari:
Enhanced Dataset Synthesis Using CTGAN for Metagenomic Dataset. 1-6 - Talshyn Sarsembayeva, Madina Mansurova, Magzhan Sarsembayev, Anar Ibrayeva:
Research on Improving the Quality of Life of Students Using Machine Learning and Developing a Digital Health Profile. 1-6 - Sebastian Asen, Carola Has, Rainer Poeschl, Stefan Kunze:
Drone-Based and 5G-Connected Multisensor Platform for Forest Monitoring. 1-7 - Fumiaki Sato, Takamasa Koshizen, Kazuhiko Yamakawa, Yuji Yasui:
Mobile Alert System Using Lane Detection Based on Vehicle Clustering. 1-6 - Francisco Javier Iriarte, Miguel E. Ortiz, Luis Unzueta, Javier Martínez, Javier Zaldivar, Ignacio Arganda-Carreras:
Multi-Level XAI-Driven MLOps Pipeline for the Adjustment of Fruit and Vegetable Classifiers. 1-6 - Betty Mayeku, Juma Kilwake, Ambrose Osala Mamai, Eve Khatundi Wamasebu:
Analysis and Prediction of Computer Science Students' Performance Based on Core Foundational Courses using Ensemble Machine Learning Methods. 1-5 - Asya Stoyanova-Doycheva, Ivan Stoyanov, Georgi Cholakov, Emil Doychev:
Data Representation in Crop Cultivation Events. 1-5 - Dimitar Tsonev, Miroslav Kochankov, Rosen Iliev:
A Generalized Net Model of Integration of Electronic-Communication Networks to Support the Command and Control Process. 1-6 - João António, Lyudmila Mihaylova, Petia Georgieva:
Efficient News Synopsis Generation with T5 Transformers. 1-7 - Hisham ElMoaqet
, Dina Karasneh
Predicting Solar Photovoltaic Power Production Using Artificial Intelligence-Based Algorithms. 1-5 - Glender Brás, Samara S. Leal, Breno Sousa, Cleberson Junior, João Souza, Zaine Mendes, Gabriel Paes:
Machine Learning Models for Basic Skills Identification in University Students. 1-9 - JohnPaul Nwigwe, Iain Martin, Craig Ramsay:
Network Traffic Prediction and Congestion Control Using a Feed Forward Neural Network. 1-7 - Perceval Maturure, Asim Ali, Alexander E. Gegov:
"Hybrid Machine Learning Model for Phishing Detection". 1-7 - Francis J. Williams, Samuel L. Hennessey, Ludmila I. Kuncheva, José-Francisco Díez-Pastor, Juan J. Rodriguez:
A Constrained Cluster Ensemble Using Hierarchical Clustering Methods. 1-6 - Janne Harjamäki, Pekka Sillberg, Mika Saari, Petri Rantanen, Jari Soini, Pekka Abrahamsson:
From Data to Documentation: Exploring the Use of ChatGPT's Custom Instructions for Report Generation. 1-6 - Boriana Vatchova, Yordanka Boneva, Alexander E. Gegov:
Relation Based Knowledge Extraction for Animal Farm Management. 1-5 - Odartey Lamptey, Djamila Ouelhadj, Anna Rösner, Adrian Hopgood, Alexander E. Gegov, Serge Da Deppo:
Decision Tree Ensemble Based Classification of Terrorist Attacks Using eXplainable Artificial Intelligence. 1-6 - Wesley Doorsamy, Pitshou N. Bokoro:
An Investigation into Unsupervised Anomaly Detection for Data-Driven Predictive Maintenance. 1-12 - Balachandar Paulraj
Ext-NoSQL: A NoSQL Schematics through JSON. 1-7 - Moussa Baddour, Stéphane Paquelet, Paul Rollier, Marie de Tayrac, Olivier Dameron, Thomas Labbé:
Phenotypes Extraction from Text: Analysis and Perspective in the LLM Era. 1-8 - Radoslav Hrischev, Nikola Shakev:
Using of Digital Twin Technology on the Stages of Implementation of ERP Systems. 1-6 - Noah Ari, Richard C. Yarnell, Paul Amoruso, Johnathan Mell, Ronald F. DeMara, Annie S. Wu:
FOCAL: Feature-Oriented Cellular Automata Learning for Convolution-Free Image Classification. 1-6 - Kilian Eisert, Maximilian Krähschütz, Viet The Nguyen:
A Graph Neural Network-Based Recommendation System for Product Manufacturing Information in 3D-CAD Models. 1-6 - Kiril Traykov:
A Framework for Security Testing of Large Language Models. 1-7 - Maqsood Hussain Shah, Xiaoyu Dang, Mingming Liu:
Hierarchical Tree of Deep Networks (HTDN) for Joint Classification of Linear and Non-Linear Modulations. 1-7 - Nurdaulet Nurym, Meruert Serik, Georgi Dimirovski, Anatoly Kovtun:
Investigation of the Influence of Three Different Control Algorithms on the Efficiency of Movements of a Robotic System [Wheeled Robot]. 1-5 - Janusz Bedkowski, Karol Majek, Michal Pelka:
Semi Autonomous Mobile Robot for Inspection Missions. 1-4 - Giannis Konstantinidis, Alexander E. Gegov:
Deep Neural Networks for Anti Money Laundering Using Explainable Artificial Intelligence. 1-6 - Omer Faruk Sari, Mohamed Bader-El-Den, Volkan Ince, Farzad Arabikhan:
Machine Learning Approach into Bacterial Relationship: Exploring 16S rRNA Metabarcoding with Association Rule Mining. 1-6 - Sarra Baghdadi, Majd Saleh, Stéphane Paquelet:
TocBERT: Medical Document Structure Extraction Using Bidirectional Transformers. 1-6 - Karima Gouasmia, Wafa Mefteh, Faïez Gargouri:
Simulation Based Design of Self-Adaptive Agent Behavior: Road Traffic Data Collection Case Study. 1-5 - Ivan Lambov:
Decentralized Identity of Artifacts on the BSN Spartan Blockchain. 1-7 - Marija Gojkovic, Melanie Schranz:
Preserving Privacy in Logistics by Using Swarm Intelligence from the Bottom-Up. 1-7 - Edita Djambazova, Valentina Terzieva, Svetozar Ilchev, Ivan Gaidarski:
Aspects of Dependability and Security in Integrated Intelligent Educational Environments. 1-6 - Kalin Stoyanov:
An Algorithm for the Construction of Improved Training Sets for Neural Networks. 1-10 - Dimitar Lyubchev, Angel Marchev:
Applying Genetic Algorithms for Optimizing Program Increment Planning in Software Development Teams. 1-8 - Anna Rösner, Alexander E. Gegov, Adrian Hopgood, Odartey Lamptey, Djamila Ouelhadj, Serge Da Deppo:
Machine Learning-Based Classification of Extremism Using Explainable Artificial Intelligence. 1-7 - Nurassyl Kerimbayev, Karlygash Adamova, Vladimir Jotsov, Rustam Shadiev, Zhanat Umirzakova, Ainar Nurymova:
Organization of Feedback in the Intelligent Learning Systems. 1-7 - Vasil Shteriyanov, Rimma Dzhusupova, Jan Bosch, Helena Holmström Olsson:
Unraveling the Impact of Density and Noise on Symbol Recognition in Engineering Drawings. 1-7 - Abdallah AlAbidy, Amr Zaben, Osama M. F. Abu-Sharkh, Haitham Ameen Noman:
A Survey on AI-Based Detection Methods of GPS Spoofing Attacks on UAVs. 1-13 - Mario Qosja, Simon Meckel, Roman Obermaisser:
Discrete-Event Co-Simulation Interface for Time-Triggered Organic Computing. 1-7 - Özgür Anil Özlü, Günce Keziban Orman, Sultan N. Turhan:
Exploring Graph-Based Techniques in Job Recommendation Systems. 1-6 - Alexander Krawczyk, Benedikt Bagus, Yannick Denker, Alexander Gepperth:
Continual Reinforcement Learning Without Replay Buffers. 1-9 - Jianyu Wang:
LLM-Based Fine-Tuning Data Generation for Relation Triplet Extraction with Expert Ensemble and Demonstration Selection. 1-7 - Salman Almuhammad Alali, Amar Kachenoura, Lotfi Senhadji, Alfredo I. Hernández, Cindy Michel, Laurent Albera, Ahmad Karfoul:
An Efficient Strategy for the Denoising of Heart Vibration Signals Acquired from an Implantable Device. 1-6
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