the proceedings contain 89 papers. the special focus in this conference is on Neural computing for Advanced Applications. the topics include: Online Car-Hailing Order Matching Method Based on Demand Clustering an...
ISBN:
(纸本)9789819770069
the proceedings contain 89 papers. the special focus in this conference is on Neural computing for Advanced Applications. the topics include: Online Car-Hailing Order Matching Method Based on Demand Clustering and Reinforcement Learning;Multi-objective Optimization of Antenna Based on Improved WOA-BP Neural Network;A Multi-mechanism Collaborative Seagull Optimization Algorithm for Optimizing BP Neural Network Classification Model;an Analysis on Balance Model of Exploration and Exploitation Under Decoupled-Learning Pattern for Large-Scale Particle Swarm Optimizers;marine Ship Detection Under Fog Conditions Based on an Improved Deep-Learning Approach;skeleton-Based Point Cloud Sampling and Its Facilitation to Classification;multi-agent Reinforcement Learning for Taxi-Fleet Cruising Strategy in Ride-Hailing Services;a New Indoor Occupancy Detection Model by Integrating the Efficient Multi-scale Attention Mechanism into the EfficientDet Model;a Novel Automatic Generation Method for Neural Network by Using Iterative Function System;a Predictive Maintenance Platform for a Conveyor Motor Sensor System Using Recurrent Neural Networks;A Deep Learning-Based Method Facilitates scRNA-seq Cell Type Identification;adaptive Hierarchical Clustering Based Student Group Exercise Recommendation via Multi-objective Evolutionary Method;Quantile Regression and GCN Ensembled Hybrid Interval Forecasting Model for Wind Power Generation;efficient Path Planning for Large-Scale Vehicular Networks via Multi-agent Mean Field Reinforcement Learning;a Fast and Accurate Reconstruction Method for Boiler Temperature Field Based on Inverse Distance Weight and Long Short-Term Memory;RoBERTa-wwm-CBA: A Mental Disease Identification Model Based on RoBERTa-wwm and Hybrid Neural Networks;3D Pose Estimation of Markerless Fish on Deep Learning;safety Helmet-Wearing Detection Method Fusing Pose Estimation;Clothes Image Retrieval via Learnable FashionCLIP;mannequin2Real+: A Two-Stage Framework for Generating P
the proceedings contain 89 papers. the special focus in this conference is on Neural computing for Advanced Applications. the topics include: Online Car-Hailing Order Matching Method Based on Demand Clustering an...
ISBN:
(纸本)9789819770007
the proceedings contain 89 papers. the special focus in this conference is on Neural computing for Advanced Applications. the topics include: Online Car-Hailing Order Matching Method Based on Demand Clustering and Reinforcement Learning;Multi-objective Optimization of Antenna Based on Improved WOA-BP Neural Network;A Multi-mechanism Collaborative Seagull Optimization Algorithm for Optimizing BP Neural Network Classification Model;an Analysis on Balance Model of Exploration and Exploitation Under Decoupled-Learning Pattern for Large-Scale Particle Swarm Optimizers;marine Ship Detection Under Fog Conditions Based on an Improved Deep-Learning Approach;skeleton-Based Point Cloud Sampling and Its Facilitation to Classification;multi-agent Reinforcement Learning for Taxi-Fleet Cruising Strategy in Ride-Hailing Services;a New Indoor Occupancy Detection Model by Integrating the Efficient Multi-scale Attention Mechanism into the EfficientDet Model;a Novel Automatic Generation Method for Neural Network by Using Iterative Function System;a Predictive Maintenance Platform for a Conveyor Motor Sensor System Using Recurrent Neural Networks;A Deep Learning-Based Method Facilitates scRNA-seq Cell Type Identification;adaptive Hierarchical Clustering Based Student Group Exercise Recommendation via Multi-objective Evolutionary Method;Quantile Regression and GCN Ensembled Hybrid Interval Forecasting Model for Wind Power Generation;efficient Path Planning for Large-Scale Vehicular Networks via Multi-agent Mean Field Reinforcement Learning;a Fast and Accurate Reconstruction Method for Boiler Temperature Field Based on Inverse Distance Weight and Long Short-Term Memory;RoBERTa-wwm-CBA: A Mental Disease Identification Model Based on RoBERTa-wwm and Hybrid Neural Networks;3D Pose Estimation of Markerless Fish on Deep Learning;safety Helmet-Wearing Detection Method Fusing Pose Estimation;Clothes Image Retrieval via Learnable FashionCLIP;mannequin2Real+: A Two-Stage Framework for Generating P
the proceedings contain 20 papers. the special focus in this conference is on Mathematics and computing. the topics include: Genetic Algorithm-Based Fuzzy Programming Method for Multi-objective Stochastic Transportati...
ISBN:
(纸本)9789811554100
the proceedings contain 20 papers. the special focus in this conference is on Mathematics and computing. the topics include: Genetic Algorithm-Based Fuzzy Programming Method for Multi-objective Stochastic Transportation Problem Involving three-Parameter Weibull Distribution;multi-choice Multi-objective Fractional Probabilistic Programming Problem;approximate Solution of Hypersingular Integral Equation by Using Differential Transform Method;topological and Algebraic Properties of Triple n-normed Spaces;on λ -Ideal Statistical Convergence of Weighted h for Multiple Sequences;A -Fractal Rational Functions and their Positivity Aspects;a Class of Sequence Spaces Defined by l-Fractional Difference Operator;zipper Rational Quadratic Fractal Interpolation Functions;double Lacunary Statistical Convergence of Weight ν via Ideal in Topological Groups;visual Secret Sharing Scheme with Distributed Levels of Importance of Shadows;monotonicity Preserving Rational Cubic Graph-Directed Fractal Interpolation Functions;design of Hash Function Using Two Dimensional Cellular Automata;anonymous Fine-Grained User Access Control Scheme for Internet of things Architecture;preventing Fault Attack on Stream Ciphers by Fault Detection and Correction;a Guests Managing System with Lattice-Based Verifier-Local Revocation Group Signature Scheme with Time-Bound Keys;theory and Application of Computationally-Independent One-Way Functions: Interactive Proof of Ability—Revisited;NCASH: Nonlinear Cellular Automata-based Hash function;conditions for Feedback Shift Registers to Generate Permutations.
In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with talent and management-related tasks in a quantitative manner. Indeed, thanks to th...
详细信息
ISBN:
(纸本)9798400704901
In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with talent and management-related tasks in a quantitative manner. Indeed, thanks to the era of big data, the availability of large-scale talent data provides unparalleled opportunities for business leaders to understand the rules of talent and management, which in turn deliver intelligence for effective decision-making and management for their organizations. In the past few years, talent and management computing have increasingly attracted attention from KDD communities, and a number of research/applied data science efforts have been devoted. To this end, the purpose of this workshop, i.e., the 5thinternational Workshop on Talent and Management computing (TMC'2024), is to bring together researchers and practitioners to discuss boththe critical problems faced by talent and management-related domains and potential data-driven solutions by leveraging state-of-the-art data mining technologies.
the proceedings contain 75 papers. the topics discussed include: an analytical study on consumer perception for a product against its social media imprint;the memorable assistant: an IoT-based smart wearable Alzheimer...
ISBN:
(纸本)9781665406109
the proceedings contain 75 papers. the topics discussed include: an analytical study on consumer perception for a product against its social media imprint;the memorable assistant: an IoT-based smart wearable Alzheimer’s assisting device;evaluation of pavement roughness using smartphones;diabetic retinopathy prediction using deep learning;a community based study for early detection of postpartum depression using improved data mining techniques;use of homomorphic transform in encryption;efficient mask detection system for low powered micro-computer;data security and recovery approach using elliptic curve cryptography;a behavioral study of advanced security attacks in enterprise networks;spam detection in twitter data;real-time threat intelligence-block phising attacks;sentimental analysis on COVID-19 tweets using bidirectional encoder representations transformers;object size measurement from CCTV footage using deep learning;video based transcript summarizer for online courses using natural language processing;and an analytical study on consumer perception for a product against its social media imprint.
Data mining in the educational field has been commonly used to analyze patterns in academic databases that are hard to analyze manually. the main objective of this paper is to compare the performance of data mining al...
详细信息
Vehicular networks are a vast and significant research subject that attracts the transportation and telecommunications industries. the transportation industry's primary goal is to ensure road safety. For this purp...
详细信息
ISBN:
(纸本)9798350361261;9798350361278
Vehicular networks are a vast and significant research subject that attracts the transportation and telecommunications industries. the transportation industry's primary goal is to ensure road safety. For this purpose, as a solution, it was necessary to combine cellular networks and vehicular technologies, which led to Cellular Vehicle-to-Everything (C-V2X). thus, vehicles that support 4th generation (4G) or 5th generation (5G) capacities must be capable of transparently adjusting to the existing dual infrastructure by enforcing the new 5G radio and current 4G Long-Term Evolution (LTE) technology. In this context, Dual connectivity (DC) was invented to enable vehicles to be connected simultaneously using the two technologies and to resolve the problem of frequent Handovers (HO). this study aims to enhance the network's performance by reducing HO's number. To do this, we opted to use and test our network with two Deep Reinforcement Learning (DRL) algorithms: Proximal Policy Optimization (PPO) and Advantage Actor-Critic (A2C). Simulation results and the comparison between these two algorithms reveal that PPO is the algorithm that performs the best in almost all scenarios.
the proceedings contain 45 papers. the special focus in this conference is on Russian Supercomputing Days. the topics include: Multicriteria Optimization of Chemical Reactions Using Interval Analysis. Parallel Sc...
ISBN:
(纸本)9783031494345
the proceedings contain 45 papers. the special focus in this conference is on Russian Supercomputing Days. the topics include: Multicriteria Optimization of Chemical Reactions Using Interval Analysis. Parallel Scheme for Implementing the Computational Process;Parallel Numerical Implementation 3D Wave Hydrodynamics and SWAN Models;Parallel Numerical Simulation of Sonic Log for 3D Heterogeneous TTI Media;quantum-Chemical Study of Some Tris(pyrrolo)benzenes and Tris(pyrrolo)-1,3,5-triazines;Reduced Precision Computations in the SL-AV Global Atmosphere Model;Scalability of the INM RAS Earth System Model;Simulation of Free-Surface Fluid Dynamics: Parallelization for GPUs;Software Package USPARS for Large Sparse systems of Linear Equations;Supercomputer Search for Coagulation Factor XIIa Inhibitors in the Chinese National Compound Library;block Algebraic Multigrid Method for Saddle-Point Problems of Various Physics;supercomputer Technologies for Ultrasound Nondestructive Imaging of Low-Contrast Defects in Solids;the Effect of Data Structuring on the Parallel Efficiency of the HydroBox3D Relativistic Code;the Efficiency Optimization Study of a Geophysical Code on Manycore computing Architectures;using Parallel Technologies to Calculate Fluid Dynamic Processes in a Fractured-Porous Reservoir Taking into Account Non-isothermality;computational Efficiency of Iterative Methods for Solving Inverse Problems;computer Memory Requirements for Matrix-Forming Approach to Global Stability Analysis of Fluid Flows;***: Extensible, Open-Source Isothermal Phase Equilibrium Calculations for Fluids;efficiency and Accuracy of High-Performance Calculations of the Electrostatic Energy of thin Films Atomistic Clusters;field-Split Iterative Solver Vs Direct One for Quasi-Static Biot Equation;GPU-Accelerated Matrix Exponent for Solving 1D Time-Dependent Schrödinger Equation;how to Make Lanczos-Montgomery Fast on Modern Supercomputers?.
the proceedings contain 44 papers. the topics discussed include: a wideband rectangular microstrip patch antenna with partial ground plane for 5g applications;development of a Bangla speech to text conversion system u...
ISBN:
(纸本)9781665449212
the proceedings contain 44 papers. the topics discussed include: a wideband rectangular microstrip patch antenna with partial ground plane for 5g applications;development of a Bangla speech to text conversion system using deep learning;automatic identification of mice social behavior through multi-modal latent space clustering;a deep learning approach for Bangla image captioning system;semantic representation of sentences employing an automated threshold;a deep learning approach for Bangla speech to text conversion;a systematic review on the chronological development of Bangla sign language recognition systems;static output feedback stabilizing control for Takagi-Sugeno fuzzy systems;improved transfer learning architecture to classify covid-19 affected chest x-rays using noisy student pre-training;human action recognition based on a sequential deep learning model;and a vision-based lane detection approach for autonomous vehicles using a convolutional neural network architecture.
the proceedings contain 12 papers. the topics discussed include: heterogeneous network selection strategy based on power wireless communication system;LDSQP: scalable and efficient log data storage and query processin...
ISBN:
(纸本)9781450389648
the proceedings contain 12 papers. the topics discussed include: heterogeneous network selection strategy based on power wireless communication system;LDSQP: scalable and efficient log data storage and query processing scheme for cloud data centers;a new precipitation nowcasting method based on extrapolation technique and random forest;an improved hierarchical clustering routing algorithm for wireless sensor networks based on the integration of space-air-ground network;multi cell network resource allocation algorithm for space earth integrated network;sleep quality evaluation system based on video surveillance;multi-path routing spectrum allocation algorithm based on fragment sensing and energy saving;task scheduling based on computing resource usage prediction in large-scale cluster;and effective insect recognition based on deep neural network models in complex background.
暂无评论