Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm حسب De Rochechouart, Maxence

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Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms حسب Humna Khan (17541972)

"…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …"

Don't understand a measure? Learn it: Structured Prediction for Coreference Resolution optimizing its measures حسب Iryna Haponchyk (19691701)

"…In this paper, we trade off exact computation for enabling the use and study of more complex loss functions for coreference resolution. Most interestingly, we show that such functions can be (i) automatically learned also from controversial but commonly accepted coreference measures, e.g., MELA, and (ii) successfully used in learning algorithms. …"

Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm حسب Noor Habib Khan (22224775)

"…To avoid such issues and provide the optimal solution, there are some modifications are implemented into the internal structure of t‐LCA based on Weibull flight operator, mutation‐based approach, quasi‐opposite‐based learning and gorilla troops exploitation‐based mechanisms to enhance the overall strength of the algorithm to obtain the global solution. For validation of ILCA, the non‐parametric and the statistical analysis are performed using benchmark standard functions. …"

Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

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A new reactive power optimization algorithm حسب Mantawy, A.H.

"…A new implementation for the particle swarm algorithm has been applied. The objective function of the proposed algorithm is to minimize the system active power loss. …"
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A novel AI approach for optimal deployment of EV fast charging station and reliability analysis with solar based DGs in distribution network حسب Fareed Ahmad (134672)

A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT حسب Dhananjay Bisen (19482454)

"…The proposed model determines a training dataset by covering all the aspects of cost function calculation. This training dataset helps to train the model, which allows for efficient decision-making in optimum energy usage. …"

Android Malware Detection Using Machine Learning حسب Al Ali, Shaikha

"…Detecting and preventing malware is crucial for several reasons, including the security of personal information, data loss and tampering, system disruptions, financial losses, and reputation damage. …"
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Crashworthiness optimization of composite hexagonal ring system using random forest classification and artificial neural network حسب Monzure-Khoda Kazi (17191207)

"…At the same time, the mean square error value serves as the loss function for the ANN model (i.e., the loss function values were 2.84 × 10⁻⁷ and 6.40 × 10⁻⁷, respectively, for X1 and X2 loading conditions at 45° angle). …"

Defense against adversarial attacks: robust and efficient compressed optimized neural networks حسب Insaf Kraidia (19198012)

"…A cumulative updating loss function was employed for overall optimization, demonstrating remarkable superiority over traditional optimization techniques. …"

Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

"…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …"

Machine Learning Model for a Sustainable Drilling Process حسب Alsaidi, Ola

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H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling حسب Peixoto, Eduardo

"…The second solution uses linear discriminant functions to map the incoming H.264/AVC coding parameters to the outgoing HEVC partitions. …"
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Optimal shunt compensators at nonsinusoidal busbars حسب El-Amin, I.M.

"…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …"
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OPTIMAL SHUNT COMPENSATORS AT NON-SINUSOIDAL BUSBARS حسب El-Amin, I.M.

"…This model was solved employing the penalty function approach and the golden Section Search algorithm for solving the linear load case. …"
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Analyzing Partial Shading in PV Systems Using Wavelet Packet Transform and Empirical Mode Decomposition Techniques حسب Kais Abdulmawjood (17947784)

"…In the first stage, the WPT is used to split the PV voltage and string currents into specific sub-band frequencies, and then EMD is used to decompose the selected frequency bands into a number of intrinsic mode functions (IMFs) and a residual. The generated IMF components are then fed into the Random Forest (RF) algorithm designed for shading detection and classification. …"

Cohen syndrome and early-onset epileptic encephalopathy in male triplets: two disease-causing mutations in VPS13B and NAPB حسب Alice AbdelAleem (17753799)

"…The prediction algorithms support the pathogenicity of these variants. …"

Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle حسب Reza Jafari (3494018)

"…A tailored multi-term reward function is structured to penalize excessive yaw rate error, sideslip angle, tire slip deviations beyond peak grip regions, and power losses based on a realistic electric machine efficiency map. …"