{"product_id":"ignacio-rojas-advances-in-computational-intelligence-9783032027245","title":"Advances in Computational Intelligence","description":".- Advanced Topics in Computational Intelligence.\n\u003cbr\u003e\n.- Power Quality 24-hour Prediction Based on L-Transform Derivative Modular and Deep Learning Statistics Using Environmental Data in detached Smart Buildings.\n\u003cbr\u003e\n.- Incremental Feature Learning of Shallow Feedforward Regression Neural Networks using Particle Swarm Optimisation.\n\u003cbr\u003e\n.- Resilience Under Attack: Benchmarking Optimizers Against Poisoning in Federated Learning for Image Classification Using CNN.\n\u003cbr\u003e\n.- VIDEM: VIDeo Effectiveness and Memorability Dataset.\n\u003cbr\u003e\n.- Penetration Testing with AI: Case Studies on LLM and RL-Based Attack Agents.\n\u003cbr\u003e\n.- A comparative study of deep learning approaches for classifying wild and cultivated fish.\n\u003cbr\u003e\n.- Sparse Least Square SVM in Primal via Nesterov Accelerated Alternating Directions Method of Multipliers.\n\u003cbr\u003e\n.- AI:Bioinformatics and Biomedical Applications.\n\u003cbr\u003e\n.- A transformer-based model to predict micro RNA interactions.\n\u003cbr\u003e\n.- Leveraging Large Language Models on Assay Descriptions to Improve the Prediction of Inhibitors for Mycobacterium tuberculosis.\n\u003cbr\u003e\n.- Advancing Imminent Fracture Risk Prediction: Integrating Machine Learning with Enhanced Feature Engineering.\n\u003cbr\u003e\n.- Self-organizing Maps for Missing Value Imputation in Transcriptomic Datasets.\n\u003cbr\u003e\n.- ANN HW-Accelerators.\n\u003cbr\u003e\n.- RECS: A Scalable Platform for Heterogeneous AI Acceleration in the Cloud-Edge Continuum.\n\u003cbr\u003e\n.- Evaluating HBM to accelerate neural networks on FPGAs demonstrated using binary neural associative memories.\n\u003cbr\u003e\n.- Resource-efficient Implementation of Convolutional Neural Networks on FPGAs with STANN.\n\u003cbr\u003e\n.- High-Performance FPGA-based CNN Acceleration for Real-Time DC Arc Fault Detection.\n\u003cbr\u003e\n.- Optimizing AI on the Edge: Partitioning Neural Networks Across Heterogeneous Accelerators.\n\u003cbr\u003e\n.- Comparison of Hardware Component and Manycore Implementation for Anomaly Detection in Trustworthy System-on-Chips.\n\u003cbr\u003e\n.- Bio-Inspired Systems and Neuro-Engineering.\n\u003cbr\u003e\n.- An Emotional Classifier for Machine’s Artificial Visual Aesthetic Appraisal.\n\u003cbr\u003e\n.- Hardware and Software influence on EAs power consumption.\n\u003cbr\u003e\n.- Properties of monoclinic gallium oxide film and its photomemristor application in nonlinear RMC circuit.\n\u003cbr\u003e\n.- A perceptron-like neural network implementing a learning-capable K-nearest neighbor classifier.\n\u003cbr\u003e\n.- From Biological Neurons to Artificial Neural Networks: A Bioinspired Training Alternative.\n\u003cbr\u003e\n.- Recent Advances in Deep Learning.\n\u003cbr\u003e\n.- Domain Adaptation of the Whisper ASR Model for Tourism Call Center Transcription in Polish.\n\u003cbr\u003e\n.- Learning to Search with Subgoals.\n\u003cbr\u003e\n.- Towards Speaker Independent Speech Emotion Recognition by means of Dataset Aggregation.\n\u003cbr\u003e\n.- Learning Heuristics for k-NANN-A*: A Deep Learning Approach.\n\u003cbr\u003e\n.- Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability.\n\u003cbr\u003e\n.- Energy-Efficient Radio Resource Allocation in 5G Using Deep Q-Networks.\n\u003cbr\u003e\n.- Multi-view Cross Contrastive Learning for Multimodal Knowledge Graph Recommendation.\n\u003cbr\u003e\n.- MuleTrack: A Lightweight Temporal Learning Framework for Money Mule Detection in Digital Payments.\n\u003cbr\u003e\n.- Modular Deep Neural Networks with residual connections for predicting the pathogenicity of genetic variants in non coding genomic regions.\n\u003cbr\u003e\n.- Modeling Student–Subject Interactions with GNNs for Grade Prediction.\n\u003cbr\u003e\n.- Deploying Vision Foundation AI Models on the Edge. The SAM2 Experience.\n\u003cbr\u003e\n.- Generative AI for Contextualizing Bronze Age Objects in Historical Scenes.\n\u003cbr\u003e\n.- G-TED SAM: Node Classification via Graph Transformer to Simple Attention Model Distillation.\n\u003cbr\u003e\n.- Expression Recognition in Faces Partially Occluded by Head-Mounted Displays.\n\u003cbr\u003e\n.- Reinforcement Learning for Mapless Navigation: Enhancing Exploration with Image-Based Rewards","brand":"Springer","offers":[{"title":"Default Title","offer_id":53765002232150,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/ignacio-rojas-advances-in-computational-intelligence-9783032027245","provider":"momoxbooks","version":"1.0","type":"link"}