Factorization-based methods, which can model cross features automatically and generalize to unseen features, have been the benchmark models for the click-through rate (CTR) prediction. In general, they enumerate all c...
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the proceedings contain 7 papers. the topics discussed include: energy efficiency of ROS nodes in different languages: publisher-subscriber case studies;scenarios for trust management in swarm robotics;RoMaViD: learni...
ISBN:
(纸本)9798400705663
the proceedings contain 7 papers. the topics discussed include: energy efficiency of ROS nodes in different languages: publisher-subscriber case studies;scenarios for trust management in swarm robotics;RoMaViD: learning robotic manipulation from video demonstrations;systematic testing of a ROS interface specification backend;contextual visualizations for debugging collaborative robots;a model-based methodology for automated verification of ROS 2 systems;and an edge computing sizing tool for robotic workloads.
the proceedings contain 12 papers. the special focus in this conference is on algorithms for Computational Biology. the topics include: Improved DNA-versus-Protein Homology Search for Protein Fossils;the Maximum Weigh...
ISBN:
(纸本)9783030744311
the proceedings contain 12 papers. the special focus in this conference is on algorithms for Computational Biology. the topics include: Improved DNA-versus-Protein Homology Search for Protein Fossils;the Maximum Weight Trace Alignment Merging Problem;can We Replace Reads by Numeric Signatures? Lyndon Fingerprints as Representations of Sequencing Reads for Machine Learning;exploiting Variable Sparsity in computing Equilibria of Biological Dynamical systems by Triangular Decomposition;a Recovery Algorithm and Pooling Designs for One-Stage Noisy Group Testing Under the Probabilistic Framework;novel Phylogenetic Network Distances Based on Cherry Picking;best Match Graphs with Binary Trees;Scalable and Accurate Phylogenetic Placement Using pplacer-XR;comparing Methods for Species Tree Estimation with Gene Duplication and Loss;reversal Distance on Genomes with Different Gene Content and Intergenic Regions Information.
the proceedings contain 19 papers. the special focus in this conference is on Applied computing for Software and Smart systems. the topics include: CCD Array Spectrometer-Based FBG Bragg Wavelength Detection Using ANN...
ISBN:
(纸本)9789819797615
the proceedings contain 19 papers. the special focus in this conference is on Applied computing for Software and Smart systems. the topics include: CCD Array Spectrometer-Based FBG Bragg Wavelength Detection Using ANN Algorithm;performance Assessment of Sequential Models for Solar Radiation Forecasting Over Varying Forecast Horizon;advancing Smartphone Sensor-Based Keystroke Dynamics for Implicit and Active Authentication: Addressing Challenges and Enhancing Usability Control;a Prototype for Peer-to-Peer Transient Microservices with Wi-Fi Direct;comparison of the Effectiveness of Face Recognition algorithms in Terms of Photo Distortion Level;multi-class Histology Image Analysis Using Handcrafted Texture and Colour Features for Breast Abnormality Classification;fvFc-Net: Forged Video Frame Classification Network;semi-automated Ground Truth Generation System for Bangla Offline Handwritten Text Documents;SWFEM: Sparse Weighted Fine-Tuned Ensemble Model for Leaf Disease Detection;a Comparative Study of Hospital Length of Stay Prediction of Indoor Patients for Admission, Post Admission, and Discharge Stage Data Using Machine Learning algorithms;BEN-RS-ANN: An Innovative Approach for Revealing Emotion from Bengali Text with Exposure to Polysemy Resolution;Flood Detection in UAV Images of Urban Area Using Machine Learning and Deep Learning Techniques;supervised Classification Approach for Precise Cell Type Identification Improves Single Cell Data Analysis;quality-Driven Web Service Selection: Machine Learning Based Approach;contextual Correlation Inference in Multi-fleet Robotic systems;risk Assessment in Agile Software Development;Adaptive Cyber Defence: Leveraging GANs for Simulating and Mitigating Advanced Network Attacks in IoT Environments.
Existing deep-learning-based features have shown strong enough results (more than 90% accuracy) if a large amount of annotated data is available. However, in reality, data annotation is labor-intensive and expensive. ...
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the proceedings contain 7 papers. the topics discussed include: plan simulation with PDSim;autonomous generation of symbolic knowledge via option discovery;scheduling pre-operative assessment clinic via answer set pro...
the proceedings contain 7 papers. the topics discussed include: plan simulation with PDSim;autonomous generation of symbolic knowledge via option discovery;scheduling pre-operative assessment clinic via answer set programming;automatic synthesis of stabilizing controllers for discrete time linear hybrid systems;statistical model checking as an effective technology to formally analyze industry-relevant cyber-physical systems;explaining ASP-based operating room schedules;and an ASP-based solution to the operating room scheduling with care units.
the security applications are critical in network security application research;however, it has an issue with erroneous performance positioning. the typical Bee colony algorithm is unable to address the inaccurate app...
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the proceedings contain 52 papers. the topics discussed include: evaluation of deep learning based human expression recognition on noisy images;NichePSO and the merging subswarm problem;melt-pool defects classificatio...
ISBN:
(纸本)9781728175591
the proceedings contain 52 papers. the topics discussed include: evaluation of deep learning based human expression recognition on noisy images;NichePSO and the merging subswarm problem;melt-pool defects classification for additive manufactured components in aerospace use-case;a multiscale approach to detect the semantics of locomotion without positioning information;a comprehensive diagnostic tool for skin cancer using a multifaceted computer vision approach;comparison of swarm and graph algorithms for solving travelling salesman problems;and GPQ: greedy partial quantization of convolutional neural networks inspired by submodular optimization.
Credit cards are a leading payment method for online and offline transactions due to advancements in electronic payment systems. However, this popularity has led to an increase in scams, resulting in substantial finan...
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