A Fast and Robust Gas Recognition Algorithm Based on Hybrid Convolutional and Recurrent Neural Network حسب Xiaofang Pan (1895950)

Minimizing Deadline Misses of Mobile IoT Requests in a Hybrid Fog- Cloud Computing Environment حسب Omer, Dalia Fatahelrahman

احصل على النص الكامل

CNN and HEVC Video Coding Features for Static Video Summarization حسب Issa, Obada

احصل على النص الكامل

Matheuristic Fixed Set Search Applied to the Two-Stage Capacitated Facility Location Problem حسب Denis Alicic (23073484)

"…We propose a twofold contribution: first, an adaptive greedy algorithm that generates high-quality initial solutions, achieving markedly better results than traditional constructive heuristics at comparable computational costs; and second, the adaptation of the Matheuristic Fixed Set Search (MFSS) to the TSCFLP. …"

Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

احصل على النص الكامل

Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

Deep Learning-Based Coding Strategy for Improved Cochlear Implant Speech Perception in Noisy Environments حسب Billel Essaid (22047578)

Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura, Habiba

"…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Edge intelligence for network intrusion prevention in IoT ecosystem حسب Mansura Habiba (17808302)

"…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. …"

Stability improvement of the PSS-connected power system network with ensemble machine learning tool حسب M.S. Shahriar (19517536)

"…The backtracking search algorithm (BSA) based proposed ensemble model is formed by combining three machine learning (ML) techniques, namely the extreme learning machine (ELM), neurogenetic (NG) system, and multi-gene genetic programming (MGGP). …"

Isolating Physical Replacement of Identical IoT Devices Using Machine and Deep Learning Approaches حسب Mohammad, Areej Osama

احصل على النص الكامل

Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

احصل على النص الكامل
احصل على النص الكامل

Fixed set search applied to the multi-objective minimum weighted vertex cover problem حسب Raka Jovanovic (17947838)

"…One important characteristic of the proposed GRASP is that it avoids the use of weighted sums of objective functions in the local search and the greedy algorithm. In the second stage, the bi-objective GRASP is extended to the FSS by adding a learning mechanism adapted to multi-objective problems. …"

Automatic Video Summarization Using HEVC and CNN Features حسب Issa, Obada

احصل على النص الكامل

ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing Under Real-Time Constraints حسب Mohammed Al Disi (16855407)

"…<p dir="ltr">Remote health monitoring is becoming indispensable, though, Internet of Things (IoTs)-based solutions have many implementation challenges, including energy consumption at the sensing node, and delay and instability due to cloud computing. …"

Machine Learning Techniques for Detecting Attackers During Quantum Key Distribution in IoT Networks With Application to Railway Scenarios حسب Hasan Abbas Al-Mohammed (16810674)

"…An architecture for implementing QKD in beyond 5G IoT networks is proposed, offloading the heavy computational tasks to IoT controllers. …"

MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments حسب Hend Gedawy (23275984)

"…<p dir="ltr">Many novel IoT-based applications demand low latency, large compute resources, and high privacy. …"

A new genetic algorithm approach for unit commitment حسب Mantawy, A.H.

احصل على النص الكامل
احصل على النص الكامل

Genetic and heuristic algorithms for regrouping service sites. (c2000) حسب Tabbara, Hiba

احصل على النص الكامل
احصل على النص الكامل

A Modified Oppositional Chaotic Local Search Strategy Based Aquila Optimizer to Design an Effective Controller for Vehicle Cruise Control System حسب Ekinci, Serdar

"…We show the CmOBL-AO algorithm to perform better than the differential evolution algorithm, gravitational search algorithm, African vultures optimization, and the Aquila Optimizer using well-known unimodal, multimodal benchmark functions. …"
احصل على النص الكامل