The maximum common subgraph problem by Abu-Khzam, Faisal N.

“…We transform an essential part of the search process into the task of enumerating maximal independent sets in only a part of only one of the input graphs. …”
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Dynamic-neural modelling of the thermal behaviour of buildings by Abi Shdid, C.

“…The primary objective is to capitalize on the modelling versatility of neural networks to facilitate coarse-grain modelling of complicated composite structures, and to allow design variables to be treated as simple inputs to the model. This approach, in contrast to more conventional modelling approaches (such as the finite element or finite difference methods), enables models to be built quickly, reduces the processing time of a simulation, and allows alternative designs to be evaluated without having to rebuild the model. …”
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Robustness testing of composed real-time systems by Fouchal, Hacène

“…A RTCBS system is described as a collection of components where each component is modeled as a Timed Input-Output Automaton (TIOA). For each component, we handle two specifications: a nominal one and a degraded one. …”
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Improving the Classification of Multiple Disorders with Problem Decomposition by Abdel-Aal, Radwan E.

“…Automatic selection of only relevant inputs by the simpler abductive network models synthesized provides greater insight into the diagnosis problem and the diagnostic value of various disease markers. …”
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Mining breast cancer genetic data for improved diagnosis. (c2012) by Zantout, Rouba Samir

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Anomaly Detection Based Framework for Profile Monitoring by Al-Rahim, Nour Al-Huda Z. Al-Abed

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Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization by De Rochechouart, Maxence

“…The sequential measurements processing method is used to merge the inputs from the camera and the radar. …”
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Solar syngas production via methanothermal reduction of strontium oxide by Rahul R. Bhosale (6467102)

“…Application of heat recuperation considerably decreased the requirement of solar energy input, and hence the process efficiency is further amplified. …”

Error-feedback temperature regulation for a reverse flow reactor driven by a distributed parameter exosystem by Ilyasse Aksikas (17302726)

“…First, a state feedback stabilizing regulator is designed which drives the process output to a reference trajectory. The second main aim is to develop a dynamical controller that uses the tracking error as an input. …”

Thermodynamic analysis of models used in hydrogen production by geothermal energy by Kanoglu, Mehmet

“…These include using geothermal work output as the work input for an electrolysis process (Case 1); using part of geothermal heat to produce work for electrolysis process and part of geothermal heat in an electrolysis process to preheat the water (Case 2), using geothermal heat to preheat water in a high-temperature electrolysis process (Case 3), and using part of geothermal work for electrolysis and the remaining part for liquefaction (Case 4). …”
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CASRA+ by Haraty, Ramzi A.

“…This reference model differs from the direct word template matching, where speech features that are extracted from the input are directly compared to the word templates. …”
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm by Odat, Alhaj-Saleh A.

“…This article outlines the input data and partial shading conditions employed in the replication model of Sequential Monte Carlo (SMC)-based tracking techniques for photovoltaic (PV) systems. …”
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An all-digital fast tracking switching converter with a programmable order loop controller for envelope tracking RF power amplifiers by Harmanani, Haidar M.

“…The proposed converter is entirely digital and is implemented in 14nm bulk CMOS process for post layout verification. For an input voltage of 3.3V, the converter's output can be regulated to any voltage level from 0.5V to 2.5V, at a nominal switching frequency of 150MHz. …”
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Sensitivity of discrete-time Kalman filter to statistical modeling errors by Saab, Samer S.

“…The optimum filtering results of Kalman filtering for linear dynamic systems require an exact knowledge of the process noise covariance matrix Qk, the measurement noise covariance matrix Rk and the initial error covariance matrix P0. …”
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Student advising decision to predict student's future GPA based on Genetic Fuzzimetric Technique (GFT) by Kouatli, Issam

“…The technique utilizes input importance factor to combine the modular structure into final decision process. …”
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Exploring Emirati EL teachers' beliefs about teaching and their relationship to classroom practices: a hermeneutic study by Valenzuela, Jacqueline Soledad

“…To approach this research inquiry, a qualitative paradigm based on Gadamerian hermeneutics was adopted. The data-gathering process consisted of semi-structured interviews and classroom observations. …”
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A Review on Membrane Fouling Prediction Using Artificial Neural Networks (ANNs) by Abuwatfa, Waad Hussein

“…Artificial neural networks (ANNs) are powerful tools for nonlinear mapping and prediction, and they can capture complex relationships between input and output variables. In membrane fouling prediction, ANNs can be trained using historical data to predict the fouling rate or other fouling-related parameters based on the process parameters. …”
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Modeling hydrogen solubility in alcohols using group method of data handling and genetic programming by Atashrouz, Saeid

“…Having accurate information about the solubility of hydrogen (H2) in alcoholic solvents is crucial for the design and implementation of numerous chemical processes. In this communication, two robust correlative techniques, Genetic programming (GP) and Group method of data handling (GMDH) were used to estimate H2 solubility in alcohols. …”
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Health system resilience by Ammar, Walid

“…Results In studying the case of Lebanon we used input–process–output–outcome approach to assess the resilience of the Lebanese health system. …”
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Thermodynamic analysis of solar-driven integrated system for efficient brine management and hydrogen production by Nadira Salsabila (16855101)

“…Rejected brine from the RO process is treated using reverse electrodialysis (RED) and the photo-chloralkali (PCA) process to produce valuable chemicals, including hydrogen, which is converted into electricity using a proton exchange membrane (PEM) fuel cell. …”