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

"…We present a structured taxonomy covering value-based, policy-based, actor-critic, model-based, and advanced multi-agent and multi-objective approaches, and link algorithms to tasks such as dispatch, microgrid coordination, real-time pricing, load balancing, and demand–response. …"

Extreme Early Image Recognition Using Event-Based Vision حسب Abubakar Abubakar (18278998)

"…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …"

The Effectiveness of Supervised Machine Learning in Screening and Diagnosing Voice Disorders: Systematic Review and Meta-analysis حسب Ghada Al-Hussain (18295426)

"…<h3>Background</h3><p dir="ltr">When investigating voice disorders a series of processes are used when including voice screening and diagnosis. …"

DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins حسب Samir Brahim, Belhaouari

"…ConclusionWe present the effectiveness of DeepRaman, an innovative architecture inspired by the Progressive Fourier Transform and integrated with the scalogram transformation method, in classifying raw SERS Raman spectral data from biological specimens with unparalleled accuracy relative to conventional machine learning algorithms. …"
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Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier حسب Syed Ali Jafar Zaidi (19563178)

"…<div><p>Machine learning (ML)-based prediction is considered an important technique for improving decision making during the planning process. …"

Predicting Android Malware Using Evolution Networks حسب Chahine, Joy

"…With this aim, we introduce evolutionary networks, and particularly the Susceptible-Infectious-Susceptible (SIS) model, as a way to address the limitations of previous studies which are typically based on traditional machine learning models. …"
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Agent-Based Reactive Geographic Routing Protocol for Internet of Vehicles حسب Mazouzi, Mohamed

"…The design of an efficient routing algorithm for Internet of Vehicles (IoV) is a challenging research issue due to the inherent characteristics of IoV network, such as high-speed mobility of nodes, frequent topology change, link instability, and the presence of radio obstacles. …"
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Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization حسب Yassine Himeur (14158821)

"…Typically, they can (i) ease the training process, (ii) improve the generalizability of ML and DL models, and (iii) overcome data scarcity problems by transferring knowledge from one domain to another or from one task to another. …"

Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review حسب Asma Alamgir (18288895)

"…Most of the studies used data sets with a size of <10,000 samples (32/47, 68%). Machine learning models were the most prominent branch of AI used in the prediction of cardiac arrest in the studies (38/47, 81%), and the most used algorithm was the neural network (23/47, 49%). …"

Predicting the Impact of Data Poisoning Attacks in Blockchain-Enabled Supply Chain Networks حسب Javed Butt , Usman

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

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Assessment of static pile design methods and non-linear analysis of pile driving حسب Abou-Jaoude, Grace G.

"…Scientific advances in pile analysis have been made in recent decades but their implementation in the estimation of axial capacity has been slow. The modeling of the pile driving process has been traditionally carried out using the one-dimensional wave equation analysis based on empirical factors to control the static and dynamic resistances developed in the soil. …"
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CAD TOOL FOR THE AUTOMATIC-GENERATION OF MICROPROGRAMS حسب Sait, Sadiq M.

"…Since the UAHPL model is directly related to hardware, this approach is better than those based on ordinary high-level languages or special microprogram languages. …"
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A modified coronavirus herd immunity optimizer for capacitated vehicle routing problem حسب Abu Zitar, Raed

"…Due to the complex nature of the capacitated vehicle routingproblem, metaheuristic optimization algorithms are widely used for tackling this type of challenge.Coronavirus Herd Immunity Optimizer (CHIO) is a recent metaheuristic population-based algorithm thatmimics the COVID-19 herd immunity treatment strategy. …"
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Face Flow: Constrained Optical Flow Framework for Faces حسب Alkaddour, Muhannad

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Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images حسب Rehan Raza (17019105)

"…Lung-EffNet is built based on the architecture of EfficientNet and further modified by adding top layers in the classification head of the model. …"

Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System حسب Fahmida Haque (16896489)

"…Patients have been classified into four classes: Absent, Mild, Moderate, and Severe. The model accuracy was validated with the results from different machine learning algorithms. …"

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.…"

Strategies for Reliable Stress Recognition: A Machine Learning Approach Using Heart Rate Variability Features حسب Mariam Bahameish (19255789)

"…However, limited datasets in affective computing and healthcare research can lead to inaccurate conclusions regarding the ML model performance. This study employed supervised learning algorithms to classify stress and relaxation states using HRV measures. …"

Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network حسب Fares Almomani (12585685)

"…<p dir="ltr">The present study evaluates the effect of co-digestion of agricultural solid wastes (ASWs), cow manure (CM), and the application of chemical pre-treatment with NaHCO₃ on the performance of anaerobic digestion (AD) process. An Artificial neural network (ANN) algorithm was developed to model and optimize the cumulative methane production (CMP) from ASWs, CM, and their mixture under mesophilic and thermophilic conditions. …"