Deep Reinforcement Learning for Internet of Drones Networks: Issues and Research Directions حسب Noor Aboueleneen (17984101)

The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis حسب Ghada Al-Hussain (18295426)

"…<h3>Background</h3><p dir="ltr">When investigating voice disorders a series of processes are used when including voice screening and diagnosis. …"

AGEomics Biomarkers and Machine Learning—Realizing the Potential of Protein Glycation in Clinical Diagnostics حسب Naila Rabbani (291722)

"…AGEomics biomarkers have been used in diagnostic algorithms using machine learning methods. In this review, I describe the utility of AGEomics biomarkers and provide evidence why these are close to the phenotype of a condition or disease compared to other metabolites and metabolomic approaches and how to train and test algorithms for clinical diagnostic and screening applications with high accuracy, sensitivity and specificity using machine learning approaches.…"

Automated systems for diagnosis of dysgraphia in children: a survey and novel framework حسب Jayakanth Kunhoth (14158908)

"…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …"

Big Data Energy Management, Analytics and Visualization for Residential Areas حسب Gupta, Ragini

"…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
احصل على النص الكامل

Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security حسب Muhammad Maaz (5600600)

"…Consequently, the proposed hybrid deep learning anomaly detection approaches not only enhance IoT security but also provide a robust control system for addressing emerging multivariate cyber threats.…"

Exploring Semi-Supervised Learning Algorithms for Camera Trap Images حسب Sajun, Ali Reza

احصل على النص الكامل

On the P-type learning control حسب Saab, Samer S.

"…Sufficient conditions for the robustness and convergence of P-type learning control algorithms for a class of time-varying, nonlinear systems are presented. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Adaptive temperature control of a reverse flow process by using reinforcement learning approach حسب A. Binid (22046054)

"…<p>This work focuses on the design of an optimal adaptive control system for temperature regulation in a catalytic flow reversal reactor (CFRR), utilizing a reinforcement learning (RL) approach. …"

A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

"…Feature selection pre-processing is an important step to increase the accuracy of the classification algorithm and decrease the dimensionality of a dataset. …"

An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

"…Textual data contains much useless information that must be pre-processed. …"

Bee colony algorithm for assigning proctors to exams. (c2013) حسب Taha, Mohamad Kassem

احصل على النص الكامل
احصل على النص الكامل

Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

"…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

"…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …"

Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting حسب Abdelkader Baggag (16864140)

"…The learned factors, with a graph-based temporal dependency, are then used in an autoregressive algorithm to predict the future state of the road network with a large horizon. …"

Software-Defined-Networking-Based One-versus-Rest Strategy for Detecting and Mitigating Distributed Denial-of-Service Attacks in Smart Home Internet of Things Devices حسب Neder Karmous (19743430)

"…In this context, this paper presents an improved framework (SDN-ML-IoT) that works as an Intrusion and Prevention Detection System (IDPS) that could help to detect DDoS attacks with more efficiency and mitigate them in real time. …"

Advancing Coherent Power Grid Partitioning: A Review Embracing Machine and Deep Learning حسب Mohamed Massaoudi (16888710)

"…<p dir="ltr">With the escalating intricacy and expansion of the interconnected electrical grid, the likelihood of power system (PS) collapse has escalated dramatically. There is an increased emphasis on immunizing renewable-dominated power systems from large-scale cascading failures and cyberattacks through optimal power grid partitioning (PGP). …"

Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring حسب Muhammad E.H. Chowdhury (17151154)

Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

احصل على النص الكامل