Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification حسب Rajendra Babu Chikkala (22330876)

"…The BRNN model, refined using the Adagrad optimization algorithm, efficiently integrates the learned features from both branches. …"

Spectral energy balancing system with massive MIMO based hybrid beam forming for wireless 6G communication using dual deep learning model حسب Ramesh Sundar (19326046)

"…The proposed approach of DDN is trained with proper data sequences used for communication and the training phase is conducted with the norms of numerous channel variants. …"

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)

"…Based on the performance metrics, such as confusion matrix, training time, prediction time, accuracy, and Area Under the Receiver Operating Characteristic curve (AUC-ROC), it was established that SDN-ML-IoT, when applied to RF, outperforms other ML algorithms, as well as similar approaches related to our work. …"

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

Using genetic algorithms to optimize software quality estimation models حسب Azar, Danielle

"…This thesis explores the use of genetic algorithms for the problem of optimizing existing rule-based software quality estimation models. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Animal migration optimization algorithm: novel optimizer, analysis, and applications حسب Abualigah, Laith

"…Optimization algorithms are applied to find the optimal solutions in many domains and fields such as image processing, machine learning, and others. …"
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

"…CEC2019 test suite is also used to perform ablation experiments to reveal the separate contributions of chaotic local search and modified opposition-based learning strategies to the CmOBL-AO algorithm. …"
احصل على النص الكامل

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

DRL-Based UAV Path Planning for Coverage Hole Avoidance: Energy Consumption and Outage Time Minimization Trade-Offs حسب Bahareh Jafari (22501715)

"…By deploying a deep reinforcement learning algorithm, we find optimal UAV paths based on the two families of trajectories: spiral and oval curves, to tackle different design considerations and constraints, in terms of QoS, energy consumption and coverage hole avoidance. …"

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study حسب Ayman Hassan (14426412)

"…We aimed to develop an app using a comprehensive geomapping navigation and estimation system based on machine learning algorithms. This app uses key stroke-related timelines including the last time the patient was known to be well, patient location, treatment options, and imaging availability at different health care facilities.…"

Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems حسب Ahmad K. Sleiti (14778229)

"…The data-driven approach alone is not sufficient and a low-order physics based model should operate in tandem with the updated latest system parameters to allow interpretation and enhancing the results from the data-driven process. …"

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …"

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

The buffered work-pool approach for search-tree based optimization algorithms حسب Abu-Khzam, Faisal N.

احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Cryptocurrency Exchange Market Prediction and Analysis Using Data Mining and Artificial Intelligence حسب Al Rayhi, Nasser

"…One of the best algorithms in terms of the result is the Long Short Term Memory (LSTM) since it is based on recurrent neural networks which uses loop as a method to learn from heuristics data. …"
احصل على النص الكامل

A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

"…In this paper, we present a genetic algorithm that adapts such models to new data. We give empirical evidence illustrating that our approach out-beats the machine learning algorithm C4.5 and random guess.…"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…We use an ant colony optimization algorithm in the adaptation process. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining حسب Alqaryouti, Omar

"…An integrated web application is developed to mock up the end-to-end process in ecommerce. Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
احصل على النص الكامل