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

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Design and Development of a Microcontroller Based Solar PV Cooker 4

Design and Development of a Microcontroller Based Solar PV C...

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4th international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2024

作者： Morake, Anita Samikannu, Ravi Akila, L. Karpagam, R. Rohini, R. Yahya, Abid Botswana International University of Science and Technology Department of Electrical and Communications Systems Engineering Palapye Botswana Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Ece Chennai India Periyar Maniammai Institute of Science and Technology Department of Electrical and Electronics Engineering Thanjavur India Easwari Engineering College Department of Electrical and Electronics Engineering Ramapuram India Vivekanandha College of Engineering for Women Department of Computer Science and Engineering Tiruchengode India

ISBN: (纸本)9798331529635

this study proposes an innovative approach to improve solar cooking systems by combining microcontroller technology and deep-learning techniques. the Solar-PV Microcontroller-based Cooker concept aims to provide a sustainable and eco-friendly cooking method by harnessing the sun's power. this innovative approach addresses global energy conservation and access to clean cooking options, particularly in areas where conventional methods contribute to deforestation and indoor air pollution. the system includes inputs for cooking duration and temperature monitoring, enhancing solar energy efficiency and user experience. the study investigates how deep learning algorithms can be incorporated into the microcontroller-based solar cooker system to enhance functionality and versatility. Cooking settings can be automatically adjusted to maximize energy consumption and cooking results by analyzing real-time data from sensors and human inputs. the hybrid approach combines the best features of deep learning with microcontroller technology, demonstrating the significance of renewable energy in a cleaner, more efficient future. the Solar-Pv cooker demonstrates the possibilities of fusing culinary technology with computer algorithms, showcasing the potential of renewable energy in a cleaner, more efficient future. © 2024 IEEE.

关键词： Indoor air pollution

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7th international conference on Modelling and Development of Intelligent systems, MDIS 2020

7th International Conference on Modelling and Development of...

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7th international conference on Modelling and Development of Intelligent systems, MDIS 2020

ISBN: (纸本)9783030685263

the proceedings contain 25 papers. the special focus in this conference is on Modelling and Development of Intelligent systems. the topics include: Creating Web Decision-Making Modules on the Basis of Decision Tables Transformations;taking a Close Look at Twitter Communities and Clusters;fake News Detection Without External Knowledge;Context for API Calls in Malware vs Benign Programs;machine Learning Based Query Exploration;data-Driven Insights on Secondary Education: A Case Study on Teachers’ Demography and Qualification;automatic Identification of Watermarks and Watermarking Robustness Using Machine Learning Techniques;intelligent System to Support Decision Making Using Optimization Business Models for Wind Farm Design;a Mixed Integer Program for Optimizing the Expansion of Electrical Vehicle Charging Infrastructure;tuning a Mamdani Fuzzy Controller with an Imperialist Competitive Algorithm;TabbyLD: A Tool for Semantic Interpretation of Spreadsheets Data;in-Depth Insights into Swarm Intelligence algorithms Performance;a Numerical Parameter Estimation Approach of the Honeybee Population;parameter Identification of Colony Collapse Disorder in Honeybees as a Contagion;a Semantic Approach to Multi-parameter Personalisation of E-Learning systems;defining a Core Ontology for Medical Devices in Germany to Ensure Semantic Interoperability;Optimizing the Integration Area and Performance of VLIW Architectures by Hardware/Software Co-design;feed-Forward Neural Network Training by Hybrid Bat Algorithm;architectural Design Optimization: Not an Usual Optimization Process;the Virtual Doctor: the Online Tool to Organise Unscheduled Visits for Cystic Fibrosis (CF) Patients Using Machine Learning;canonical Decomposition of Basic Belief Assignment for Decision-Making Support;KOI: An Architecture and Framework for Industrial and Academic Machine Learning Applications.

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34th international conference on Architecture of computing systems, ARCS 2021

34th International Conference on Architecture of Computing S...

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34th international conference on Architecture of computing systems, ARCS 2021

ISBN: (纸本)9783030816810

the proceedings contain 14 papers. the special focus in this conference is on Architecture of computing systems. the topics include: Energy Efficient Power-Management for Out-of-Order Processors Using Cyclic Power-Gating;BCH 2-Bit and 3-Bit Error Correction with Fast Multi-Bit Error Detection;evaluating Soft Error Mitigation Trade-offs During Early Design Stages;static Extraction of Memory Access Profiles for Multi-core Interference Analysis of Real-Time Tasks;Transparent Resilience for Approximate DRAM;automatic Mapping of Parallel Pattern-Based algorithms on Heterogeneous Architectures;Assessing and Improving the Suitability of Model-Based Design for GPU-Accelerated Railway Control systems;DRT: A Lightweight Runtime for Developing Benchmarks for a Dataflow Execution Model;Performance Gain of a Data Flow Oriented ISA as Replacement for Java Bytecode;Towards Transparent Dynamic Binary Translation from RISC-V to a CGRA;an Organic computing System for Automated Testing;preface.

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Comparative Analysis of LLM-based Market Prediction and Human Expertise with Sentiment Analysis and Machine Learning Integration 7

Comparative Analysis of LLM-based Market Prediction and Huma...

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7th international conference on Data Science and Information Technology, DSIT 2024

作者： Abdelsamie, Mohamed Wang, Hua Zhejiang University International Business School China

ISBN: (纸本)9798350384093

this study conducts a comparative analysis of market prediction accuracy between Large Language Model (LLM)-based systems and human expertise within the financial analysis domain. Leveraging Quantum, an advanced LLM specialized for financial forecasting, we evaluate its predictive performance against human analysts and general-purpose LLMs, including GPT-3, GPT-4, FinGPT, and FinBERT. Employing a dataset of historical financial data, news headlines, and social media sentiment, we systematically assess predictive accuracy, response efficiency, and interpretability across models. the integration of sentiment analysis and machine learning further strengthens prediction reliability. Results reveal that Quantum's specialized model demonstrates superior accuracy and speed in financial forecasting compared to human predictions and generalized LLMs, particularly in fast-moving, data-rich contexts. Nevertheless, limitations in nuanced contextual understanding and adaptability persist, highlighting the enduring value of human expertise. this research reinforces the potential of LLMs as robust tools for financial decision-making while identifying key areas for refinement to enhance synergy with human analytical insights. https://***/g/g-bS4Q76v0I-quantum © 2024 IEEE.

关键词： Prediction models

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9th international conference on Future Data and Security Engineering, FDSE 2022

9th International Conference on Future Data and Security Eng...

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9th international conference on Future Data and Security Engineering, FDSE 2022

ISBN: (纸本)9789811980688

the proceedings contain 57 papers. the special focus in this conference is on Future Data and Security Engineering. the topics include: Preface;towards a Foundation of Web3;covid-19 Detection Based on Lung Lesion Signs in Big Data Processing Environment;predicting Loan Repayment Using a Hybrid of Genetic algorithms, Logistic Regression, and Artificial Neural Networks;performance Evaluation of Regular Decomposition and Benchmark Clustering Methods;authentication of Luxury Products – Identifying Key Requirements from a Seller and Consumer Perspective;Analysis of a New Practical SPN-Based Scheme in the Luby-Rackoff Model;authorization and Access Control for Different Database Models: Requirements and Current State of the Art;a Hierarchical Deterministic Wallet Using Ed25519 Digital Signature Scheme;a Secure Framework for Internet of Medical things Security Based System Using Lightweight Cryptography Enabled Blockchain;signature algorithms on Non-commutative Algebras Over Finite Fields of Characteristic Two;design a Smart Lock System Using Fingerprint and Password for Enhancing Security;in-Memory computing Architectures for Big Data and Machine Learning Applications;towards an Attention-Based threat Detection System for IoT Networks;security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare;pPATE: A Pragmatic Private Aggregation of Teacher Ensembles Framework by Sparse Vector Technique Based Differential Privacy, Paillier Cryptosystem and Human-in-the-loop;vietnamese Text’s Writing Styles Based Authorship Identification Model;application of Machine Learning in Malware Detection;text Classification Models and Topic Models: An Overall Picture and a Case Study in Vietnamese;deep Hybrid Models for Forecasting Stock Midprices from the High-Frequency Limit Order Book;an Image Denoising Model Based on Nonlinear Partial Diferential Equation Using Deep Learning;recommendations in E-Commerce systems Based on Deep Matrix Factorization;AttendanceKit: A s

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proceedings of MLHPC 2021: Workshop on Machine Learning in High Performance computing Environments, Held in conjunction with SC 2021: the international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of MLHPC 2021: Workshop on Machine Learning in H...

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7th IEEE/ACM Workshop on Machine Learning in High Performance computing Environments, MLHPC 2021

ISBN: (纸本)9781665411240

the proceedings contain 9 papers. the topics discussed include: semantic-aware lossless data compression for deep learning recommendation model (DLRM);Colmena: scalable machine-learning-based steering of ensemble simulations for high performance computing;production deployment of machine-learned rotorcraft surrogate models on HPC;high-performance deep learning toolbox for genome-scale prediction of protein structure and function;HPCFAIR: enabling FAIR AI for HPC applications;HPC ontology: towards a unified ontology for managing training datasets and AI models for high-performance computing;HYPPO: a surrogate-based multi-level parallelism tool for hyperparameter optimization;and is disaggregation possible for hpc cognitive simulation?.

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7th international conference on Technologies and Innovation, CITI 2021

7th International Conference on Technologies and Innovation,...

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7th international conference on Technologies and Innovation, CITI 2021

ISBN: (纸本)9783030882617

the proceedings contain 14 papers. the special focus in this conference is on Technologies and Innovation. the topics include: Preface;approach Based on Text Processing and Ontology Applied to the Health Domain of Palliative Care in Panama;relationships of Compression Ratio and Error in Trajectory Simplification algorithms;sensor Network Prototypes for Environmental Noise Monitoring Based on Free Software;agrotechnology: Analysis of the Services Offered by Mobile Applications for the Agronomic Control of Orchards;automation of Poultry Production Monitoring through Web Services;A Brief Systematic Review of the Latest Advances in IOT Platforms in Agriculture;data Governance, a Knowledge Model through Ontologies;on Intelligent Fingerprinting of Antique Buildings from Clay Composition;emotional Corpus, Feature Extraction and Emotion Classification Using the Parameterized Voice Signal;importance of international R&D Collaboration Between Companies: the CollaborativeHealth Use Case;evaluating Extractive Automatic Text Summarization Techniques in Spanish.

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14th international conference on Applications and Techniques in Information Security, ATIS 2024

14th International Conference on Applications and Techniques...

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14th international conference on Applications and Techniques in Information Security, ATIS 2024

ISBN: (纸本)9789819797424

the proceedings contain 24 papers. the special focus in this conference is on Applications and Techniques in Information Security. the topics include: Optical Neural Networks – A Strategy for Secure Quantum computing;guarding Against Quantum threats: A Survey of Post-Quantum Cryptography Standardization, Techniques, and Current Implementations;cryptographic Distinguishers through Deep Learning for Lightweight Block Ciphers;detection and Mitigation of Email Phishing;securing Digital Forensic Data Using Neural Networks, Elephant Herd Optimization and Complex Sequence Techniques;Design of Image Encryption Technique Using MSE Approach;Low Latency Binary Edward Curve Crypto Processor for FPGA Platforms;Augmenting Security in Edge Devices: FPGA-Based Enhanced LEA Algorithm with S-Box and Chaotic Functions;machine Learning Approach for Malware Detection Using Malware Memory Analysis Data;DDOS Attack Detection in Virtual Machine Using Machine Learning algorithms;an Unsupervised Method for Intrusion Detection Using Novel Percentage Split Clustering;HATT-MLPNN: A Hybrid Approach for Cyber-Attack Detection in Industrial Control systems Using MLPNN and Attention Mechanisms;silent threats: Monitoring Insider Risks in Healthcare Sector;Enhanced Deep Learning for IIoT threat Intelligence: Revealing Advanced Persistent threat Attack Patterns;Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities;Enhancing FGSM Attacks with Genetic algorithms for Robust Adversarial Examples in Remote Sensing Image Classification systems;GAN-Enhanced Multiclass Malware Classification with Deep Convolutional Networks;IOT Based Locker Access System with MFA & Remote Authentication;a Secure Authentication Scheme between Edge Devices Using Hypergraph Hashing Technique in Iot Environment;enhancing Access Control and Information Sharing in Cloud IoT with an Effective Blockchain-Based Authority System.

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ICT4AWE 2021 - proceedings of the 7th international conference on Information and Communication Technologies for Ageing Well and e-Health

ICT4AWE 2021 - Proceedings of the 7th International Conferen...

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7th international conference on Information and Communication Technologies for Ageing Well and e-Health, ICT4AWE 2021

ISBN: (纸本)9789897585067

the proceedings contain 27 papers. the topics discussed include: designing interventions to support ageing well through telerehabilitation;technology and aging: supporting our current and future selves;robotics to characterize, retrain, and restore human movements;exploring different user interfaces for velocity based training using smart gym machines: pilot study;from age to age: key ‘gerontographics’’ contributions to technology adoption by older adults;satisfaction, self-management and usability: assessment of two novel IT solutions for type 2 diabetes patients’ empowerment;design approach of medical devices for regulation compatibility: a robotic rehabilitation case study;and de-identification of medical information for forming multimodal datasets to train neural networks.

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Predicting Round Result in Counter-Strike: Global Offensive Using Machine Learning 7

Predicting Round Result in Counter-Strike: Global Offensive ...

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7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Xu Huang, Weison Wang, Jincheng Xu, Yizhi Cincinnati Country Day School CincinnatiOH United States Ap Center Hangzhou 14th High School Hangzhou China Olive Tree International Academy Bfsu Hangzhou China

ISBN: (纸本)9781665478571

this paper first analyzes the research of Xenopoulos et al. and Makarov et al. about using machine learning to predict the result of CS: GO matches. We then carry out our experiment to compare the performance of different machine learning algorithms in predicting. Inspired by the previous research, TrueSkill value was introduced to 5 algorithms: Decision Tree, Gradient Boosted Decision Tree, XGBoost, Logistic Regression, and Neural Network. After comparing each algorithm and implementation of each algorithm with TrueSkill values, the result shows that XGBoost and Neural Network perform better than others, and the difference between these two algorithms is not significant. Our experimental result also reflects that TrueSkill values can slightly improve the accuracy of each algorithm by increasing the size of the data set. © 2022 IEEE.

关键词： Forecasting

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