Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

"…There are a variety of ways in which AI technology can aid in the growth and profitability of a variety of industries. Such data can be parsed using ML and AI approaches in designed to check attacks on CPSs. …"
احصل على النص الكامل
احصل على النص الكامل

Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning حسب Far, Reza Davoodi

احصل على النص الكامل

A decentralized load balancing strategy for parallel search-three optimization. (c2010) حسب Mouawad, Amer E.

احصل على النص الكامل
احصل على النص الكامل

Haplotype inference by pure-parsimony using revamped delayed haplotype selection. (c2011) حسب Abdallah, Raymond

احصل على النص الكامل
احصل على النص الكامل

Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk حسب Mohamed Chaouch (17983846)

"…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …"

Parallel implementation of clique partitioning using artificial neural networks. (c2000) حسب Hajj, Hisham

احصل على النص الكامل
احصل على النص الكامل

Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units حسب Shanableh, Tamer

"…The flags pertaining to 16x16 sub CUs are used as a cover for data embedding, where 6 or 4 message bits are embedded per CU. …"
احصل على النص الكامل

FESP. (c1995) حسب Haidar, Kamal

احصل على النص الكامل
احصل على النص الكامل

A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model حسب Md. Nazmul Islam Shuzan (16888827)

Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm حسب Saima Hassan (14918003)

"…The antecedent part parameters (Gaussian membership function parameters) are encoded as a population of artificial swarm of grasshoppers and optimized using its algorithm. Tuning of the consequent part parameters are accomplished using extreme learning machine. …"

Forecasting the Direction of GCC Stock Indexes Using Support Vector Machine (SVM) Algorithm حسب Zeino, Yaser Abdullah

احصل على النص الكامل

The Use of Microwave Tomography in Bone Healing Monitoring حسب Alkhodari, Mohanad Ahmed

احصل على النص الكامل

Practical single node failure recovery using fractional repetition codes in data centers حسب Itani, May

"…Hence, a practical solution for node failures is presented by using a self-designed genetic algorithm that searches within the feasible solution space. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms حسب Tekli, Joe

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

A Secure and Decentralized Blockchain Based EV Energy Trading Model Using Smart Contract in V2G Network حسب Atif Iqbal (5504636)

Content-Aware Adaptive Video Streaming Using Actor-Critic Deep Reinforcement Learning حسب Amer, Hala Nagi

احصل على النص الكامل

FarmTech: Regulating the use of digital technologies in the agricultural sector حسب Imad Antoine Ibrahim (14158998)

Damage assessment and recovery from malicious transactions using data dependency for defensive information warfare حسب Haraty, Ramzi A.

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

The automation of the development of classification models and improvement of model quality using feature engineering techniques حسب Sjoerd Boeschoten (17347045)

"…We demonstrated the applicability of feature engineering techniques such as data imputation, transformation (e.g., scaling, centering, etc.), and data balancing using several case studies and the proposed semi-automated framework. …"