An EM-Based Forward-Backward Kalman Filter for the Estimation of Time-Variant Channels in OFDM حسب Al-Naffouri, T.Y.

"…In this paper, we propose an expectation-maximization algorithm for joint channel and data recovery in fast fading environments. …"
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Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review حسب Alaa Abd-alrazaq (17058018)

"…The most frequently used data set from open sources was Depresjon. The most commonly used algorithm was random forest, followed by support vector machine.…"

MDPF: Minimum Distance Packet Forwarding for Search Applications in Mobile Ad Hoc Networks حسب Artail, Hassan

"…This paper introduces a message forwarding algorithm for search applications within mobile ad hoc networks that is based on the concept of selecting the nearest node from a set of designated nodes. …"
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Machine Learning Model for a Sustainable Drilling Process حسب Alsaidi, Ola

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Uplink Noma in UAV-Assisted IoT Networks حسب Mrad, Ali

"…The second device is then selected using a heuristic algorithm based on prioritizing devices with higher bit rate requirements and strict deadlines. …"
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Evacuation of a highly congested urban city حسب El Khoury, John

"…The algorithm uses Dijkstras algorithm to find the shortest path(s) and a modified greedy algorithm to assign maximum flows to selected paths given a specific schedule per time interval. …"
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Predicting User Behavior over the Web حسب Al Safadi, Amal Adnan

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Artificial Intelligence–Driven Serious Games in Health Care: Scoping Review حسب Alaa Abd-alrazaq (17058018)

"…Two reviewers independently performed the study selection process. Three reviewers independently extracted data from the included studies. …"

Artificial Intelligence for Skin Cancer Detection: Scoping Review حسب Abdulrahman Takiddin (14153181)

"…Study selection and data extraction were independently conducted by two reviewers. …"

Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review حسب Arfan Ahmed (17541309)

"…Two reviewers independently performed study selection and data extraction, and disagreements were resolved by consensus. …"

Generic DFT approach for pattern sensitive faults in word-orientedmemories حسب Amin, A.A.

"…A novel design for testability (DFT) strategy allows efficient built-in self-testing (BIST) of WOMs. By proper selection of the memory array tiling scheme, it is possible to implement O(n) BIST algorithms which test WOMs for various types of neighbourhood pattern sensitive faults (NPSFs). …"
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Performance Prediction Using Classification حسب MOOLIYIL, GITA

"…The use of classification as a data mining approach for performance prediction has been studied by many eminent researchers. …"
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Deep Reinforcement Learning for Resource Constrained HLS Scheduling حسب Makhoul, Rim

"…The actions and rewards for the proposed algorithm are selected carefully to guide the agent to its objective. …"
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Local convexity preserving rational cubic spline curves حسب Sarfraz, M.

"…An algorithm is presented which constructs a curve by interpolating the given data points. …"
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Regression Testing of Database Applications حسب Haraty, Ramzi A.

"…In phase 2, further reduction in the regression test cases is performed by using reduction algorithms. We present two such algorithms. The Graph Walk algorithm walks through the control flow graph of database modules and selects a safe set of test cases to retest. …"
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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass حسب Uzma Nawaz (21980708)

"…By synthesizing findings across various data sources and model architectures, we offer critical insights into the selection of context-aware algorithms and identify key research gaps, an essential step for advancing the reliability and applicability of AI-driven seagrass conservation efforts.…"

Improving Rule Set Based Software Quality Prediction حسب Azar, Danielle

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Estimating Bridge Deterioration Age Using Artificial Neural Networks حسب AL HUSSEIN, ASEEL

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A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks حسب Sakib Mahmud (15302404)

"…Reported benefits include energy savings, emissions reduction, and improved operational efficiency, although gains are often contingent on data quality, reward design, and benchmark selection. …"