ThoraX-PriorNet: A Novel Attention-Based Architecture Using Anatomical Prior Probability Maps for Thoracic Disease Classification حسب Md. Iqbal Hossain (723299)

A novel technique for fast multiplication حسب Sait, Sadiq M.

"…The algorithm is modelled in a hardware description language and its VLSI chip implemented. …"
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A novel technique for fast multiplication حسب Sait, Sadiq M.

"…In this algorithm the partial products of the multiplicand and three bits of the multiplier are pre-calculated using only hardwired shifts. …"
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Establishing Autonomous AUS-Quadrotor حسب Al Younes, Younes

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Development of a cerebral aneurysm segmentation method to prevent sentinel hemorrhage حسب Yousra Regaya (17788964)

"…Here, we present a method combining a multiresolution and a statistical approach in two dimensional domain to segment cerebral aneurysm in which the Contourlet transform (CT) extracts the image features, while the Hidden Markov Random Field with Expectation Maximization (HMRF-EM) segments the image, based on the spatial contextual constraints. The proposed algorithm is tested on Three-Dimensional Rotational Angiography (3DRA) datasets; the average values of segmentation accuracy, DSC, FPR, FNR, specificity, and sensitivity, are found to be 99.72%, 93.52%, 0.07%, 5.23%, 94.77%, and 99.96%, respectively.…"

A Literature Review on System Dynamics Modeling for Sustainable Management of Water Supply and Demand حسب Khawar Naeem (17984062)

"…One noticeable finding is that only 12% of the articles used quantitative models to complement SDM for the decision-making process. The models included agent-based modeling (ABM), Bayesian networking (BN), analytical hierarchy approach (AHP), and simulation optimization multi-objective optimization (MOO). …"

Net energy–cost optimization of STPV–PDRC integrated greenhouses: Balancing energy production and cooling demand under crop-specific DLI constraints حسب Mohammadreza Gholami (17032317)

"…An improved equilibrium optimizer (IEO) algorithm was employed to solve the multi-objective problem. …"

Generic metadata representation framework for social-based event detection, description, and linkage حسب Abebe, Minale A.

"…SEDDaL consists of four main modules for: i) describing social media objects in a generic Metadata Representation Space Model (MRSM) consisting of three composite dimensions: temporal, spatial, and semantic, ii) evaluating the similarity between social media objects’ descriptions following MRSM, iii) detecting events from similar social media objects using an adapted unsupervised learning algorithm, where events are represented as clusters of objects in MRSM, and iv) identifying directional, metric, and topological relationships between events following MRSM’s dimensions. …"
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Multi Agent Reinforcement Learning Approach for Autonomous Fleet Management حسب Alhusin, Mohammed Omer Alamin

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Enhanced DC Microgrid Protection: a Neural Network and Wavelet Transform Approach حسب El Gohary, Youssef Hesham

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Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment حسب Safak Bayram (16925975)

"…The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. …"

Prototype project management tool (PPMT) with cocomo calibration. (c1998) حسب Haddad, Ibrahim F.

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Phased Array Technique for Brain Source Localization حسب Zarghami, Tahereh

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Novel RFID-Based Pose Estimation Using Single Stationary Antenna حسب Saab, Samer S.

"…Unlike conventional power map matching schemes, which create the map from actual measurements, the proposed power map is automatically generated based on a simple mathematical model. The application under consideration is based on two-dimensional (2-D) open spatial environment where the area of each object is no less than a quarter of a square meter with position estimation errors stretching to tens of centimeters. …"
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Optimal Trajectory and Positioning of UAVs for Small Cell HetNets: Geometrical Analysis and Reinforcement Learning Approach حسب Mohammad Taghi Dabiri (16904658)

"…To this end, we first characterize a detailed three-dimensional (3D) modeling of the dynamic UAV-assisted HetNet, by taking into account the random positions of small cell base stations (SBSs), spatial angles between THz links, real antenna pattern, and UAV’s vibrations in the 3D space. …"

EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach حسب Muhammad Adeel Asghar (6724982)

"…To reduce the feature dimensionality, spatial, and temporal based, bag of deep features (BoDF) model is proposed. …"

Energy conversion of heat from abandoned oil wells to mechanical refrigeration - Transient analysis and optimization حسب Mohammed Al-Khawaja (17093017)

"…To evaluate the performance of the system, comprehensive models are developed including transient model for the abandoned oil well (geothermal loop) in spatial and time domains and thermodynamic and optimization models for the entire three-loop system. …"

An exact and general model order reduction technique for the finite element solution of elastohydrodynamic lubrication problems حسب Habchi, W.

"…The technique is complemented with a splitting algorithm to alleviate the hurdle of solving an arising semidense matrix system. …"
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Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System حسب Alaa Altawallbeh (22565837)

"…This paper presents a comprehensive small-signal modeling and stability analysis framework for grid-connected virtual synchronous generators (VSGs), integrating: an LCL-filter interfaced power converter, active/reactive power loop (APL/RPL) controllers, and dual-loop PI-based current and voltage control. Through systematic eigenvalue analysis and parameter sensitivity studies, complemented by time-domain verification in MATLAB/SIMULINK, we demonstrate the decisive influence of VSG control parameters on low-frequency oscillation (LFO) damping characteristics, transient frequency stability metrics, including the rate of change of frequency (ROCOF), maximum frequency deviation (<i>fnadir</i>), overshoot, and settling time. …"

From low-cost sensors to high-quality data: A summary of challenges and best practices for effectively calibrating low-cost particulate matter mass sensors حسب Michael R. Giordano (9976173)

"…The methods for correcting and calibrating these biases and dependencies that have been used in the literature likewise range from simple linear and quadratic models to complex machine learning algorithms. Here we review the needs and challenges when trying to get high-quality data from low-cost sensors. …"