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Aug 27, 2025Open Access
Depression treatment often involves a complex and lengthy trial-and-error process, where clinicians sequentially prescribe medications to identify the most effective treatment for each patient. This approach can lead to delayed recovery, unnecessary side effects, and increased healthcare costs. To address this challenge, we present a Reinforcement Learning (RL)-based framework designed to optimize antidepressant treatment strategies through dynamic, patient-specific decision-making. The proposed...
Jun 09, 2025Open Access
This study introduces a novel simulation-based framework that integrates Agent-Based Modelling (ABM) with Reinforcement Learning (RL) to evaluate and optimize policies for mental health crisis response. As mental health crises become increasingly complex and context-specific, traditional fixed-resource strategies may fail to adapt to evolving population needs. To address this, we simulate a diverse synthetic population characterized by varying demographic attributes such as age and gender, as we...
Jun 09, 2025Open Access
Pregnancy introduces a unique clinical dilemma in the management of psychiatric and neurological disorders, where ensuring maternal mental health must be carefully balanced against the potential risks to fetal development. Pharmacological treatments, while often necessary, carry varying degrees of teratogenic risk, particularly when administered during sensitive stages of gestation. In this study, we present an AI-based risk stratification framework that integrates machine learning (ML) and expl...
Jun 09, 2025Open Access
Pregnancy presents a unique clinical scenario where the safety of pharmacological interventions is of paramount importance. The potential teratogenic risks associated with drug intake during pregnancy necessitate a highly informed, evidence-based approach to prescribing. However, the rapid increase in published literature, clinical trials, and drug safety communications poses significant challenges for clinicians attempting to stay current with evolving data. To address this, we propose an AI-po...
Nov 27, 2024Open Access
This paper presents a comprehensive approach to face detection utilizing the YOLOv8 model, specifically trained on a diverse dataset consisting of images from four individuals. The trained model is seamlessly integrated into an AI module from Huada, a leading AI company, equipped with a camera and LED indicators, enabling real-time face recognition and classification of known and unknown individuals. The model’s performance is evaluated across various metrics, demonstrating its high accuracy, ro...
Aug 31, 2022Open Access
Monte Carlo software MCNP and Geant4 were used to study the factors affecting the detection efficiency of the lanthanum bromide detector, mainly including the thickness of the detector al shell and the size of the crystal. The results of the two softwares were compared. The results show that only the thickness of the front Al shell increases the detection efficiency of the full energy peak, and the side al shell has little effect on the detection efficiency of the full energy peak; The increase ...
Apr 27, 2021Open Access
Protein is a class of food needed daily by humans and even animals. Protein is rated as 20% to 30% of daily food requirements making it a very significant part of daily needs in compliance with the International Labour Organization (ILO) order on food. This class of food from animals has been threatened and carries a lot of health risks unlike protein from plant sources. The need for an alternative to plant protein led to this work. A neuro-fuzzy expert system for detection of leghemoglobin in l...
Nov 17, 2020Open Access
A wireless communication system for cellular technology is currently considered a very important topic for mobile phone. The design of such systems needs to include their multipath and fading main problems. In this paper, a MIMO-OFDM channel is designed and modeled to combat such problems, as well as STBS and directivity are also involved in this design to increase system reliability and enhance BER performance. The modeling and simulation process of the designed systems are carried out using Ma...
Oct 27, 2020Open Access
This paper presents the performance analysis of Bluetooth Low Energy (BLE) IEEE 802.15.1 standard in the piconet topology networks. The performance of the BLE network is analyzed in terms of connection interval (CI) and the number of slaves (NS) by using OMNET (v4.6) simulator. In the performance investigation process Data Length Extension (DLE) features is used with an application payload size of 60 bytes in order to achieve the best performance in a BLE (P2P) network. The modeled networks an...
May 22, 2017Open Access
In this paper, a modified SIS (susceptible-infected-susceptible) model with infective medium
and feedback mechanism on scale-free networks is presented. The model is suited to describe some epidemic spreading which are not only transmitting by
medium but also spreading between individuals by direct contacts. Considering
biological relevance and people’s subjecti ...
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