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检索条件"任意字段=Proceedings of the 7th International Conference on Algorithms, Computing and Systems"

共 3437 条记录，以下是691-700 订阅

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Quantum Task Allocation and Scheduling with Security Enhancements via Quantum Key Distribution 5

Quantum Task Allocation and Scheduling with Security Enhance...

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5th international conference on Emerging systems and Intelligent computing, ESIC 2025

作者： Singh, Animesh Mohan, Ankita Nayak, Satyakam Sharma, Neeraj Chakraborty, Sanjukta Bandyopadhyay, Anjan Kiit University School of Computer Engineering Bhubaneswar751024 India Lovely Professional University School of Computer Engineering Jalandhar144411 India Techno International New Town Kolkata700156 India

ISBN: (纸本)9798331522100

As quantum computing progresses, the need for optimized task allocation and scheduling becomes paramount to efficiently harness quantum resources. Simultaneously, ensuring the security of communications in quantum systems is critical, given their vulnerability to quantum-specific attacks. this paper introduces a framework for quantum task allocation and scheduling, augmented with security enhancements using Quantum Key Distribution (QKD). By incorporating novel quantum scheduling algorithms and cryptographic protections, this mechanism offers both high efficiency and strong security. Analytical formulations and simulations confirm the robustness of our approach, demonstrating improvements in both scheduling efficiency and secure communication. © 2025 IEEE.

关键词： Qubits

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24th international Symposium on Fundamentals of Computation theory, FCT 2023

24th International Symposium on Fundamentals of Computation ...

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24th international Symposium on Fundamentals of Computation theory, FCT 2023

ISBN: (纸本)9783031435867

the proceedings contain 30 papers. the special focus in this conference is on international Symposium on Fundamentals of Computation theory. the topics include: Distance-Based Covering Problems for Graphs of Given Cyclomatic Number;an Efficient Computation of the Rank Function of a Positroid;minimizing Query Frequency to Bound Congestion Potential for Moving Entities at a Fixed Target Time;complexity of Conformant Election Manipulation;α - β -Factorization and the Binary Case of Simon’s Congruence;bounds for c-Ideal Hashing;parameterized Complexity of the th+1 -Free Edge Deletion Problem;on the Parallel Complexity of Group Isomorphism via Weisfeiler–Leman;the Complexity of (Pk, P) -Arrowing;on computing a Center Persistence Diagram;subhedge Projection for Stepwise Hedge Automata;robust Identification in the Limit from Incomplete Positive Data;cordial Forests;vertex Ordering with Precedence Constraints;forwards- and Backwards-Reachability for Cooperating Multi-pushdown systems;shortest Dominating Set Reconfiguration Under Token Sliding;computing Optimal Leaf Roots of Chordal Cographs in Linear Time;verified Exact Real Computation with Nondeterministic Functions and Limits;exact and Parameterized algorithms for the Independent Cutset Problem;kernelization for Finding Lineal Topologies (Depth-First Spanning Trees) with Many or Few Leaves;Two UNO Decks Efficiently Perform Zero-Knowledge Proof for Sudoku;the Rectilinear Convex Hull of Line Segments;power of Counting by Nonuniform Families of Polynomial-Size Finite Automata;domino Snake Problems on Groups;parsing Unranked Tree Languages, Folded Once;the Impact of State Merging on Predictive Accuracy in Probabilistic Tree Automata: Dietze’s Conjecture Revisited;computing Subset Vertex Covers in H-Free Graphs;on computing Optimal Temporal Branchings.

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University student's mental stress detection using machine learning 7

University student's mental stress detection using machine l...

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7th international conference on Mechatronics and Intelligent Robotics, ICMIR 2023

作者： Firoz, Mehedi Islam, Mohammad Monirul Shidujaman, Mohammad Islam, Ashraful Habib, Tarek Department of Computer Science and Engineering Daffodil International University Bangladesh Bangladesh Department of Computer Science and Engineering Independent University Bangladesh Bangladesh

ISBN: (数字)9781510668089

ISBN: (纸本)9781510668072

University students are especially susceptible to the negative effects of mental stress in today's environment, which is a serious issue overall. A great deal of pressure is now being placed on a period of life that was traditionally considered to be the most carefree. People in today's culture are exposed to increasingly high levels of mental stress, which has been related to a broad variety of health problems, such as depression, suicide, heart attacks, and strokes. Because of this, in order to primarily extract, for the purposes of this research, the mental stress ratings of university students, we applied a total of six distinct machine learning methods. the Decision Tree Classifier, the Random Forest Classifier, the SVC, the KNN Classifier, the Multinomial NB, and the K-Nearest Neighbors Regressor are only some of the machine learning algorithms that are available. this investigation's principal objective is to determine the percentage of students who are struggling to deal with emotional pressure in their lives. the dataset was put together by hand with paper and manual information obtained from a survey. Out of the six distinct classification strategies, the Decision Tree Classifier and the Random Forest Classifier both achieved a test result of 0.99, which is the maximum score that can be achieved. © 2023 SPIE. All rights reserved.

关键词： Machine learning

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Enhancement of the optoelectronic characteristics of deep ultraviolet LED by the n+-AlGaN tunnel junction

Enhancement of the optoelectronic characteristics of deep ul...

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7th international conference on Electronics Technology, ICET 2024

作者： Xing, Zhongqiu Zhou, Yongjie Liu, Yuhuai Wang, Fang Liou, Juin J. Zhengzhou University National Center for International Joint Research of Electronic Materials and Systems International Joint-Laboratory of Electronic Materials and Systems of Henan Province School of Electrical and Information Engineering Zhengzhou China Zhengzhou University of Railway Engineering Basic Teaching Department Zhengzhou China North Minzu University School of Electrical and Information Engineering Ningxia Yinchuan China

ISBN: (纸本)9798350363951

It is well known that the internal quantum efficiency (IQE) of deep ultraviolet (DUV) light emitting diodes (LEDs) is lower and the efficiency droops seriously, which can be partly attributed to the low carrier injection efficiency. An n+-AIGaN tunnel junction (TJ) LED is proposed in this paper. Compared to the traditional structure, the IQE of LED with n+-AIGaN TJ has been increased by 38.1 % and the output power has been increased by 168.7 %. It's worth mentioning that the efficiency of the LED with n+-AIGaN TJ droops by only 3.94%. the energy band of the device can be manipulated by the LEDs with n+-AlGaN TJ, which results in an increase in carrier concentration. © 2024 IEEE.

关键词： Aluminum gallium nitride

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proceedings - 2020 IEEE/ACM international conference on Big Data computing, Applications and Technologies, BDCAT 2020

Proceedings - 2020 IEEE/ACM International Conference on Big ...

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7th IEEE/ACM international conference on Big Data computing, Applications and Technologies, BDCAT 2020

ISBN: (纸本)9780738123967

the proceedings contain 19 papers. the topics discussed include: a survey: benchmarking and performance modelling of data intensive applications;a survey of interpretability of machine learning in accelerator-based high energy physics;edge-enhanced analytics via latent space dimensionality reduction;a satellite collision avoidance system based on general regression neural network;iris: amortized, resource efficient visualizations of voluminous spatiotemporal datasets;characterizing user decision based on argumentative reviews;and attention models for PM2.5 prediction.

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2020 7th international conference on Smart Structures and systems, ICSSS 2020

2020 7th International Conference on Smart Structures and Sy...

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7th international conference on Smart Structures and systems, ICSSS 2020

ISBN: (纸本)9781728172231

the proceedings contain 102 papers. the topics discussed include: spam detection on social media platforms;a compact reconfigurable UWB Antenna for short-range wireless applications;high performance 32 bit Dadda multiplier using EDA;reactive power control strategy for single-phase grid-connected PV system;effect of defective substrate on a grounded coplanar waveguide antenna;an encryption-then-compression scheme using autoencoder based image compression for color images;a high efficiency Z source sparse matrix converter for vehicle to home and grid to vehicle application;comparative analysis of various DTC control techniques on BLDC motor for electric vehicle;certificate validation using blockchain;and intelligent fruit fly algorithm for maximization coverage problem in wireless sensor network.

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Computer-aided system for extending the performance of diabetes analysis and prediction 7

Computer-aided system for extending the performance of diabe...

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7th international conference on Software Engineering and Computer systems and 4th international conference on Computational Science and Information Management, ICSECS-ICOCSIM 2021

作者： Murad, Saydul Akbar Azmi, Zafril Rizal M Hakami, Zaid Hafiz Prottasha, Nusrat Jahan Kowsher, Md Universiti Malaysia Pahang Faculty of Computing Malaysia Jazan University Faculty of Computer Science and Information Technology Jazan Saudi Arabia Daffodils International University Department of Computer Science and Engineering Bangladesh Noakhali Science and Technology University Department of Applied Mathematics Bangladesh

ISBN: (纸本)9781665414074

Every year, diabetes causes health difficulties for hundreds of millions of individuals throughout the world. Patients' medical records may be utilized to quantify symptoms, physical characteristics, and clinical laboratory test data, which may then be utilized to undertake biostatistics analysis to uncover patterns or characteristics that are now undetected. In this work, we have used six machine learning algorithms to give the prediction of diabetes patients and the reason for diabetes are illustrated in percentage using pie charts. the machine learning algorithms used to predict the risks of Type 2 diabetes. User can self-assess their diabetes risk once the model has been trained. Based on the experimental results in AdaBoost Classifier's, the accuracy achieved is almost 98 percent. © 2021 IEEE.

关键词： Forecasting

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2020 7th international conference on Signal Processing and Integrated Networks, SPIN 2020

2020 7th International Conference on Signal Processing and I...

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7th international conference on Signal Processing and Integrated Networks, SPIN 2020

ISBN: (纸本)9781728154756

the proceedings contain 219 papers. the topics discussed include: direct coupled spiral resonator for band stop filter applications;graph signal processing of EEG signals for detection of epilepsy;study of PSO and firefly algorithm based feed-forward neural network training algorithms;super wide band Mickey shaped MIMO antenna for wireless communication;improved depth local binary pattern for edge detection of depth image;CORDIC based phase calibration algorithm for phase coherent DSP applications;infra-red sensor-based technology for collecting speed and headway data on highways under mixed traffic conditions;implementation of water quality sensing system using Internet of things;design and simulation of ZnO based acetone gas sensor using COMSOL multiphysics;and PolInSAR based polarimetric decomposition using cosine square distribution.

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4th IFIP TC 12 international conference on Intelligence Science, ICIS 2020

4th IFIP TC 12 International Conference on Intelligence Scie...

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4th IFIP TC 12 international conference on Intelligence Science, ICIS 2020

ISBN: (纸本)9783030748258

the proceedings contain 27 papers. the special focus in this conference is on Intelligence Science. the topics include: Trilevel Multi-criteria Decision Analysis Based on three-Way Decision;Recurrent Self-evolving Takagi–Sugeno–Kan Fuzzy Neural Network (RST-FNN) Based Type-2 Diabetic Modeling;granulated Tables with Frequency by Discretization and their Application;person Authentication by Gait Data from Smartphone Sensors Using Convolutional Autoencoder;research on Personal Credit Risk Assessment Model Based on Instance-Based Transfer Learning;from Texts to Classification Knowledge;ANAS: Sentence Similarity Calculation Based on Automatic Neural Architecture Search;fully Interval Integer Transhipment Problem- A Solution Approach;Novel Image Compression and Deblocking Approach Using BPN and Deep Neural Network Architecture;characterization of Orderly Behavior of Human Crowd in Videos Using Deep Learning;some Discussions on Subjectivity of Machine and its Function;stability Analysis of Imprecise Prey-Predator Model;comparative Performance Study on Human Activity Recognition with Deep Neural Networks;beam and Ball Plant System Controlling Using Intuitionistic Fuzzy Control;application of Pinching Method to Quantify Sensitivity of Reactivity Coefficients on Power Defect;computation with Democracy: An Intelligent System;Economy and Unemployment Due to COVID19: Secondary Research;optimal Control of Dengue-Chikungunya Co-infection: A Mathematical Study;comparative Analysis of Machine Learning algorithms for Categorizing Eye Diseases;hexagon of Intelligence;interactive Granular computing Model for Intelligent systems;a Framework for the Approximation of Relations;logical Treatment of Incomplete/Uncertain Information Relying on Different systems of Rough Sets;possibility theory and Possibilistic Logic: Tools for Reasoning Under and About Incomplete Information;similarity-Based Rough Sets with Annotation Using Deep Learning.

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7th international conference on Future Data and Security Engineering, FDSE 2020

7th International Conference on Future Data and Security Eng...

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7th international conference on Future Data and Security Engineering, FDSE 2020

ISBN: (纸本)9783030639235

the proceedings contain 26 papers. the special focus in this conference is on Future Data and Security Engineering. the topics include: A Comparative Study of Join algorithms in Spark;blockchain-Based Forward and Reverse Supply Chains for E-waste Management;a Pragmatic Blockchain Based Solution for Managing Provenance and Characteristics in the Open Data Context;OAK: Ontology-Based Knowledge Map Model for Digital Agriculture;A Novel Approach to Diagnose ADHD Using Virtual Reality;a three-Way Energy Efficient Authentication Protocol Using Bluetooth Low Energy;clustering-Based Deep Autoencoders for Network Anomaly Detection;flexible Platform for Integration, Collection, and Analysis of Social Media for Open Data Providers in Smart Cities;post-quantum Digital-Signature algorithms on Finite 6-Dimensional Non-commutative Algebras;data Quality for Medical Data Lakelands;malicious-Traffic Classification Using Deep Learning with Packet Bytes and Arrival Time;detecting Malware Based on Dynamic Analysis Techniques Using Deep Graph Learning;understanding the Decision of Machine Learning Based Intrusion Detection systems;combining Support Vector Machines for Classifying Fingerprint Images;toward an Ontology for Improving Process Flexibility;sentential Semantic Dependency Parsing for Vietnamese;An In-depth Analysis of OCR Errors for Unconstrained Vietnamese Handwriting;authorization Policy Extension for Graph Databases;A Model-Driven Approach for Enforcing Fine-Grained Access Control for SQL Queries;on Applying Graph Database Time Models for Security Log Analysis;integrating Web Services in Smart Devices Using Information Platform Based on Fog computing Model;adaptive Contiguous Scheduling for Data Aggregation in Multichannel Wireless Sensor Networks;relating Network-Diameter and Network-Minimum-Degree for Distributed Function Computation;growing Self-Organizing Maps for Metagenomic Visualizations Supporting Disease Classification.

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