Abstract Background Health systems in Bangladesh are not fully organized to provide optimal care services to patients with mental health problems.There is both a lack of resources and a disproportional distribution of the available resources.To design an equitable health system and plan interventions to improve access to care, a better understandin
Deepfake Generation and Detection: Case Study and Challenges
In smart communities, social media allowed users easy access to multimedia Mug content.With recent advancements in computer vision and natural language processing, machine learning (ML), and deep learning (DL) models have evolved.With advancements in generative adversarial networks (GAN), it has become possible to create fake images/audio/and video
The Method of Reversible Circuits Design with One-gate Prediction
This paper presents an original method of designing reversible circuits.This method is destined to most popular gate set with three types of gates CNT (Control, NOT and Toffoli).The presented algorithm based on graphical representation of the reversible function is called s-maps.This algorithm allows to find optimal or quasi-optimal reversible circ
Intensive care unit patients with lower respiratory tract nosocomial infections: the ENIRRIs project
The clinical course of intensive care unit (ICU) patients may be complicated by a large spectrum of lower respiratory tract infections (LRTI), defined by specific epidemiological, clinical and microbiological aspects.A European network for ICU-related respiratory infections (ENIRRIs), supported by the European Respiratory Society, has been recently
Simultaneous Localization and Mapping with Iterative Sparse Extended Information Filter for Autonomous Vehicles
In this paper, a novel iterative sparse extended information filter (ISEIF) was proposed to solve the simultaneous localization and mapping problem (SLAM), which Mat is very crucial for autonomous vehicles.The proposed algorithm solves the measurement update equations with iterative methods adaptively to reduce linearization errors.With the scalabi