Computer simulations of realistic ion channel structures have always been challenging and a subject of rigorous study. Simulations based on continuum electrostatics have proven to be computationally cheap and reasonably accurate in predicting a channel's behavior. In this paper we discuss the use of a device simulator, SILVACO, to build a solid-state model for KcsA channel and study its steady-state response. SILVACO is a well-established program, typically used by electrical engineers to simula...

Biological Chemistry  Photochemistry  Taxonomy  Medicinal Chemistry  Ecosystem Science  Developmental Biology  Computational Robotics  Complex network models  Artificial Intelligence  Genetics  Theoretical Chemistry  Analytical Chemistry  Neuroscience  Biological Materials  Nanometer Materials  Green Chemistry  Mathematical Biology  Molecular Biology  Microbiology  Biochemistry  Biodiversity  Bioengineering  Bioinformatics  Biophysics  Biotechnology  Functional Materials  Computational Biology  Synthetic Biology 

Doi:10.1016/j.cmpb.2006.08.007

Incomplete information game is an important research direction in artificial intelligence. Military chess is a typical incomplete information game. Since a player does not know the opponent's chess type in the whole game, military chess has high requirements for the design of the situation evaluation algorithm and the search algorithm. Most of the current military chess AI models are based on human experience. However, such models have disadvantages, such as uncertainty and the difficulty in adj...

Artificial Intelligence  Big Data Search and Mining 

Doi:10.1109/CCDC49329.2020.9164607

In the last few years, many research works have been suggested on Brain-Computer Interface (BCI), which assists severely physically disabled persons to communicate directly with the help of electroencephalogram (EEG) signal, generated by the thought process of the brain. Thought generation inside the brain is a dynamic process, and plenty thoughts occur within a small time window. Thus, there is a need for a BCI device that can distinguish these various ideas simultaneously. In this research wor...

Artificial Intelligence  Neuroscience  Computer Engineering 

Doi:10.1016/j.neucom.2018.07.094

Soft computing, as a science of modeling systems, applies techniques such as evolutionary computing, fuzzy logic, and their hybrids to solve real-life problems. Soft computing techniques are quite tolerant of incomplete, imprecise, and uncertainty when dealing with complex situations. This study adopts a hybrid of genetic algorithm and fuzzy logic in diagnosing hormonal imbalance. Hormones are chemical messengers that are vital for growth, reproduction, and are essential for human existence. ...

Artificial Intelligence  Drugs & Devices  Fuzzy Mathematics  Mobile Computing Systems  Computational Biology  Health Policy  Global Health  Simulation/Analytical Evaluation of Communication Systems  Gynecology & Obstetrics  Nutrition  Information and communication theory and algorithms 

Doi:10.14738/tmlai.76.7507

Coronavirus disease, also known as COVID-19, is a novel disease that has defied the understanding of medical practitioners globally. It is very infectious and there is no known cure or vaccine. The disease which originated from Wuhan city, Hubei province, China is responsible for over 800,000 deaths globally and over 23million confirmed infections. Infected individuals are identified by the symptoms they exhibit. Early detection is required to contain the virus and prevent fatalities. However, t...

Artificial Intelligence  Public Health  Evidence Based Medicine  Fuzzy Mathematics  Health Policy  Global Health  Infectious Diseases  Clinical Trials  Respiratory Medicine 

Doi:-

Advancement in the field of digital signal processing and modern machine learning (ML) approaches has witnessed substantial growth in biomedical engineering. The diagnostic power of these machines has grown manifolds mainly due to the exploration of effective and discriminate feature spaces that remain crucial for pattern recognition. It has enhanced the ability of machine learners to model the complex patterns accurately and make them adaptable to new task domains with explanation/experience le...

Simulation/Analytical Evaluation of Communication Systems  Self-Stabilization, Autonomic Computing  Optical Communications  Computer graphics and visualization  Online social network computing  Computer and Network Security  Computational Robotics  Complex network models  Communication Protocols  Cloud Computing  Artificial Intelligence  Mobile and Portable Communications Systems  Big Data Search and Mining  Mobile and Ubiquitous Networks  Applications of Communication Systems  Network Modeling and Simulation  Numerical Methods  Mobile Computing Systems  Multimedia/Signal processing  Information retrieval  Image Processing  High Performance Computing  Information and Communication: Security, Privacy, and Trust  Information and communication theory and algorithms  Cooperative Communications  Distributed computing  Green networking  Grid Computing  Computer Vision 

Doi:10.30991/IJMLNCE.2017v01i01.001