the proceedings contain 31 papers. the topics discussed include: performance of well-organized VLSI architecture for three operand binary adder;performance comparison of 2 x1 multiplexer based high performance static ...
ISBN:
(纸本)9798350362268
the proceedings contain 31 papers. the topics discussed include: performance of well-organized VLSI architecture for three operand binary adder;performance comparison of 2 x1 multiplexer based high performance static and dynamic nanoscale carry select adder for future DSP applications;FPGA realization of high-efficient address generator algorithm for WiMAX deinterleaver;analyzing the low power techniques in SRAM cells at 45nm node technology;power estimation of digital VLSI circuits using machine learning;pulsed latch based pipelined LFSR for cybersecurity applications;variability in switching characteristics of RRAM based 1T-1R configuration and memory array;impact of clock-gating on ALU optimized RISC-V microarchitectures for low power applications;and test power optimization using power gating techniques.
Federated learning is a powerful machine learning paradigm that enables a large number of machine learningapplicationsthat must comply with strict and complex data privacy regulations. In this paper, we focus on one...
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Along withthe development of the digital era that utilizes technology in life, social media has become a massive platform for people to create, interact with others, and exchange ideas. Instagram is one of the most w...
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the proceedings contain 22 papers. the topics discussed include: Mauvote: a novel mobile electronic voting system using blockchain;RXSS protect: a browser extension for detection of reflected cross-site scripting atta...
ISBN:
(纸本)9798331517403
the proceedings contain 22 papers. the topics discussed include: Mauvote: a novel mobile electronic voting system using blockchain;RXSS protect: a browser extension for detection of reflected cross-site scripting attacks in real-time using machine learning;improving the classification of sentiments towards Covid-19 vaccines using semantic enrichment and emojis;using GPT-4 to tutor python programming in Shona and Ndebele in Zimbabwe;drug target interaction prediction using variational quantum classifier;leveraging ML to detect fraudulent customs declaration: a case of logistic regression and LightGBM algorithms;training Tacotron 2 for text-to-speech synthesis in Kreole language: methodology and audio processing;and effective detection of fileless malware: a review and comparative analysis of detection techniques.
the proceedings contain 105 papers. the special focus in this conference is on Numerical Computations: theory and algorithms. the topics include: Resource Allocation via Bayesian optimization: an Efficient A...
ISBN:
(纸本)9783031812460
the proceedings contain 105 papers. the special focus in this conference is on Numerical Computations: theory and algorithms. the topics include: Resource Allocation via Bayesian optimization: an Efficient Alternative to Semi-Bandit Feedback;multi-Objective and Multiple Information Source optimization for Fair & Green Machine learning;extended Optimal Control Problem for Practical Application;explainable Process Deviance Discovery with Data-Efficient Deep learning;line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance;a Machine learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem;combined First- and Second-Order Directions for Deep Neural Networks Training;constrained Global optimization by Smoothing;the Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary optimizationalgorithms;an Improved Modified Jaya optimization Algorithm: Application to the Solution of Nonlinear Equation Systems;GPU Acceleration of the Enhanced Jaya optimization Algorithm for Solving Large Systems of Nonlinear Equations;effective Resistance Based Community Detection in Complex Networks;a Comparison of Formulations for Aircraft Deconfliction;optimal Recombination Problem in Genetic Programming for Boolean Functions;heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization;numerical Analysis of Optimal Control of Assets and Liabilities by a Bank;optimal Control for Stochastic Multi-agent Systems Withthe Use of Parallel Hybrid Genetic Algorithm;DC optimization in Adversarial Sparse Support Vector Machine;A First-Order Optimality Condition in Nonsmooth Generalized Semi-infinite Programming (GSIP);miniaturisation of Binary Classifiers through Sparse Neural Networks;Price Forecasting for Bitcoin: Linear Regression and SVM Approaches;inside the Box: 0–1 Linear Programming Under Interval Uncertainty;machine Learn
the proceedings contain 105 papers. the special focus in this conference is on Numerical Computations: theory and algorithms. the topics include: Resource Allocation via Bayesian optimization: an Efficient A...
ISBN:
(纸本)9783031812408
the proceedings contain 105 papers. the special focus in this conference is on Numerical Computations: theory and algorithms. the topics include: Resource Allocation via Bayesian optimization: an Efficient Alternative to Semi-Bandit Feedback;multi-Objective and Multiple Information Source optimization for Fair & Green Machine learning;extended Optimal Control Problem for Practical Application;explainable Process Deviance Discovery with Data-Efficient Deep learning;line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance;a Machine learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem;combined First- and Second-Order Directions for Deep Neural Networks Training;constrained Global optimization by Smoothing;the Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary optimizationalgorithms;an Improved Modified Jaya optimization Algorithm: Application to the Solution of Nonlinear Equation Systems;GPU Acceleration of the Enhanced Jaya optimization Algorithm for Solving Large Systems of Nonlinear Equations;effective Resistance Based Community Detection in Complex Networks;a Comparison of Formulations for Aircraft Deconfliction;optimal Recombination Problem in Genetic Programming for Boolean Functions;heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization;numerical Analysis of Optimal Control of Assets and Liabilities by a Bank;optimal Control for Stochastic Multi-agent Systems Withthe Use of Parallel Hybrid Genetic Algorithm;DC optimization in Adversarial Sparse Support Vector Machine;A First-Order Optimality Condition in Nonsmooth Generalized Semi-infinite Programming (GSIP);miniaturisation of Binary Classifiers through Sparse Neural Networks;Price Forecasting for Bitcoin: Linear Regression and SVM Approaches;inside the Box: 0–1 Linear Programming Under Interval Uncertainty;machine Learn
the purposes of automatic generation control (AGC) in a power system are to control the interchange of tie-line schedule in various power system regions, maintain the frequency within the required range and distribute...
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Lifting operation planning of mobile cranes has relied on the experience of operators for a long time, leading to inefficiencies and compromised safety. Consequently, an increasing number of algorithms are being appli...
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An online handwriting recognition system is a software application that enables the conversion of handwritten text or symbols into digital form. this system utilizes various technologies such as the processing of imag...
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the proceedings contain 105 papers. the special focus in this conference is on Numerical Computations: theory and algorithms. the topics include: Resource Allocation via Bayesian optimization: an Efficient A...
ISBN:
(纸本)9783031812439
the proceedings contain 105 papers. the special focus in this conference is on Numerical Computations: theory and algorithms. the topics include: Resource Allocation via Bayesian optimization: an Efficient Alternative to Semi-Bandit Feedback;multi-Objective and Multiple Information Source optimization for Fair & Green Machine learning;extended Optimal Control Problem for Practical Application;explainable Process Deviance Discovery with Data-Efficient Deep learning;line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance;a Machine learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem;combined First- and Second-Order Directions for Deep Neural Networks Training;constrained Global optimization by Smoothing;the Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary optimizationalgorithms;an Improved Modified Jaya optimization Algorithm: Application to the Solution of Nonlinear Equation Systems;GPU Acceleration of the Enhanced Jaya optimization Algorithm for Solving Large Systems of Nonlinear Equations;effective Resistance Based Community Detection in Complex Networks;a Comparison of Formulations for Aircraft Deconfliction;optimal Recombination Problem in Genetic Programming for Boolean Functions;heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization;numerical Analysis of Optimal Control of Assets and Liabilities by a Bank;optimal Control for Stochastic Multi-agent Systems Withthe Use of Parallel Hybrid Genetic Algorithm;DC optimization in Adversarial Sparse Support Vector Machine;A First-Order Optimality Condition in Nonsmooth Generalized Semi-infinite Programming (GSIP);miniaturisation of Binary Classifiers through Sparse Neural Networks;Price Forecasting for Bitcoin: Linear Regression and SVM Approaches;inside the Box: 0–1 Linear Programming Under Interval Uncertainty;machine Learn
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