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Table of Contents: “...Swann -- Specialized recombinative operators for timetabling problems / Edmund Burke, Dave Elliman and Rupert Weare -- The use of local search suggestion lists for improving the solution of timetable problems with evolutionary algorithms / Ben Paechter, Andrew Cumming and Henri Luchian -- Comparing genetic algorithms, simulated annealing, and stochastic hillclimbing on timetable problems / Peter Ross and Dave Corne -- Evolutionary learning in computational ecologies : an application to adaptive, distributed routing in communication networks / Brian Carse, Terence C. ...”
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Table of Contents: “...Programmable Bootstrapping Enables Efficient Homomorphic Inference of Deep Neural Networks -- Adversaries Strike Hard: Adversarial Attacks against Malware Classifiers using Dynamic API Calls as Features -- Privacy-Preserving Coupling of Vertically-Partitioned Databases and Subsequent Training with Gradient Descent -- Principal Component Analysis using CKKS Homomorphic Encryption Scheme -- DepthStAr: Deep Strange Arguments Detection -- Robust Multivariate Anomaly-Based Intrusion Detection System for Cyber-Physical Systems -- Privacy Preserving Password Strength Meters with FHE -- Automatic Detection of Water Stress in Corn Using Image Processing and Deep Learning -- Tortoise and Hares Consensus: the Meshcash Framework for Incentive-Compatible, Scalable Cryptocurrencies -- Game of Drones - Detecting Spying Drones Using Time Domain Analysis -- Privacy Vulnerability of NeNDS Collaborative Filtering -- Lawful Interception in WebRTC Peer-To-Peer Communication -- Hierarchical Ring Signatures Immune to Randomness Injection Attacks -- Theoretical aspects of a priori on-line assessment of data predictability in applied tasks -- Randomly Rotate Qubits, Compute and Reverse for Weak Measurements Resilient QKD and Securing Entanglement -- Warped Input Gaussian Processes for Time Series Forecasting -- History Binding Signature -- Effective enumeration of infinitely many programs that evade Formal Malware Analysis -- DNS-Morph: UDP-Based Bootstrapping Protocol For Tor -- Polynomial Time k-Shortest Multi-Criteria Prioritized and All-Criteria-Disjoint Paths -- Binding BIKE errors to a key pair -- Fast and Error-Free Negacyclic Integer Convolution using Extended Fourier Transform -- Efficient Secure Ridge Regression from Randomized Gaussian Elimination -- PolyDNN Polynomial Representation of NN for Communication-less SMPC Inference -- Use of Blockchain for ensuring Data Integrity in Cloud Databases -- The Coming AI Hackers -- Turning HATE Into LOVE: Compact Homomorphic Ad Hoc Threshold Encryption for Scalable MPC -- Fully Dynamic Password Protected Secret Sharing: simplifying PPSS operation and maintenance -- Early Detection of In-Memory Malicious Activity based on Run-time Environmental Features -- Software Integrity and Validation using Cryptographic Composability and Computer Vision -- Efficient Generic Arithmetic for KKW: Practical Linear MPC-in-the-Head NIZK on Commodity Hardware without Trusted Setup -- Trust and Verify: A Complexity-Based IoT Behavioral Enforcement Method -- Using a Neural Network to Detect Anomalies given an N-gram Profile -- Meta-X: A Technique for Reducing Communication in Geographically Distributed Computations -- Blindly Follow: SITS CRT and FHE for DCLSMPC of DUFSM -- Implementing GDPR in Social Networks using Trust and Context....”
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Table of Contents: “...-- AT for Engineering Applications -- AI-Based Framework for Nutritional Label Processing and Consumer Guidance. -- Communication -- Monitoring and Control System for Treatment of Muscle Tears. -- Computing -- Systematic mapping of tools and platform for microservices deployment. -- Predicting Energy Generation in Ecuador Using Machine Learning. -- e-Learning -- Perception of ChatGPT in university students to solve mathematics exercises. -- Electronics -- Transmission Loss Mitigation and Angular Margins Enhancement via OTS and PV in the IEEE 62-Bus Benchmark. -- Selective Radiofrequency Hyperthermia System for Gastric Cancer Treatment. -- Technology Trends -- Comparison of metabolic indicators between administrative and operational workers in a company dedicated to the production of cocoa semi-finished products in Ecuador. -- Reviewing recent presidential election strategies in Ecuador: A systematic approach. -- Cryptocurrency Ranking Using Social Network Analysis. -- Optimization of corn cultivation using climate prediction and nonlinear programming. -- Mobile Application for Identification and Information of Medications for the Visually Impaired by OCR and Generative AI. -- Impact of prolonged screen use on the onset of Computer Vision Syndrome in administrative workers at a regional coordination office in Ecuador. -- Deep Learning Model for Short-Term Electricity Load Forecasting Based on SARIMA-LSTM Model with Data from Ecuador's National Interconnected System. -- Bibliometric Analysis of Scientific Production on Multicriteria Decision-Making (MCDM) Methods. -- Intelligent Systems -- Optimization of a machine learning model for disease detection in banana leaves using SVD. -- XCEPTION -BASED DEEP LEARNING MODEL FOR AUTOMATIC DETECTION OF COVID-19 IN CHEST X-RAYS. -- Predictive analytics to determine alcohol consumption at events between two cities by implementing a Data Pipeline feeding an LSTM model. -- Model for predicting dengue fever using machine learning in an Ecuadorian context. -- Framework for Implementing LLMS for Software Quality. -- Data Mining Algorithms Analysis for Species Conservation in the Galapagos Islands. -- Prediction Model for Academic Burnout using Machine Learning in University Students. -- Quantum and HPC-Aware Point Cloud Processing: A Semantic Segmentation Framework with Adaptive Attention. -- Identity-Based Key-Insulated Multi-Copy Provable Data Possession Scheme for Secure Multi-Cloud Storage. -- Dynamic Incremental Inverse Cloud Transformation for Uncertainty Modelling in Cloud Networking and Communication....”

Table of 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 `edys, Mantas Lukoaevicius, 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, }ygimantas 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 Kerays, Andrius Kriaciunas, 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 Auara Gadeikyte -- A descent-ascent principle-based heuristic algorithm for the quadratic assignment problem / Alfonsas Misevicius, Gintaras Palubeckis, Dovile Verene, and Gintare }ekiene -- Optimizing echo-state networks for unemployment forecasting using a modified metaheuristic / Aleksandar Petrovic, Luka Jovanovic, Tamara }ivkovic, Miodrag }ivkovic, Branislav Radomirovic, Vico }eljkovic, Mirjana Tomic, and Nebojaa Bacanin -- Impact of smaller datasets on training and fine-tuning for novel view synthesis and 3D reconstruction / Arminas `idlauskas and Andrius Kriaciunas -- 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? ...”

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Table of Contents: “...Learning style: student learning achievements of analysis real course by online learning --...”
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