Various visual explanation methods, such as CAM and Grad-CAM, have been proposed to visualize and interpret predictions made by CNNs. Recent efforts go beyond mere visual interpretability, aiming to enhance CNN performance through the utilization …

Molecular communication (MC) is a concept in communication engineering, where diffusive molecules are used to transmit information between nano or micro-scale chemical reaction systems. Engineering MC to control the reaction systems in cells is …

Constructing gene networks in cells enables the efficient production of valuable substances and the creation of cells performing intended functions. However, the construction of a cellular network of interest, based on a design-build-test-learn …

In the case of communicable diseases, such as COVID-19, effective and quick testing techniques make it easier to identify a contaminated person, so that he or she can be easily isolated. To predict COVID-19-infected individuals through chest …

PINN, or physics-informed neural network, is a partial differential equation (PDE) solver realized as a neural network by incorporating the target PDE into the network as physical constraints. In this study, our focus lies in optimizing …

A research project on chemical AI, called the Molecular Cybernetics Project, was launched in Japan in 2021 with the goal of creating a molecular machine that can learn a type of conditioned reflex through the process of classical conditioning. In …

Coronavirus disease 2019, i.e., COVID-19, an emerging contagious disease with human-to-human transmission, first appeared at the end of year 2019. The sudden demand for disease diagnostic kits prompted researchers to shift their focus toward …

Toward the construction of robotic and cybernetic systems with molecular reactions, development of a reaction that can rapidly generate single-stranded DNA (ssDNA) molecules in response to an input signal is an essential demand. This study …

The Hallmark of Cancers consists of various biological capabilities of the tumor cell which help the medical experts to understand the development and identification of these cells during various stages of the cancer disease. The hallmark of …

The objective of this research endeavor is to identify an effective model for the classification of multiple viral respiratory diseases, encompassing COVID-19. The feature extraction phase from medical images constitutes a formidable challenge in …

The general personality traits, notably the Big-Five personality traits, have been increasingly integrated into recommendation systems. The personality-aware recommendations, which incorporate human personality into recommendation systems, have …

This study investigates whether and how the textual content of product descriptions, especially the sentiment element, influences buyers’ purchase intentions. Using year-round digital transaction data from Mercari, a leading e-Commerce platform in …

Short-text clustering, which has attracted much attention with the rapid development of social media in recent decades, is a great challenge due to the feature sparsity, high ambiguity, and massive quantity. Recently, pre-trained language models …

Conventional Human–Machine Interaction (HMI) interfaces have predominantly relied on GUI and voice commands. However, natural human communication also consists of non-verbal communication, including hand gestures like pointing. Thus, recent works …

COVID-19—A pandemic declared by WHO in 2019 has spread worldwide, leading to many infections and deaths. The disease is fatal, and the patient develops symptoms within 14 days of the window. Diagnosis based on CT scans involves rapid and accurate …

An increasing number of exchanges, mainly in the U.S., have adopted a commission structure called maker–taker fees in which traders placing limit orders (makers) are paid a rebate (negative trading commission) and traders placing market orders …

Bayesian belief network is an effective and practical approach that is widely acceptable for real-time series prediction and decision making. However, its computational efforts and complexity increased exponentially with increased number of …

Fed-batch culture is widely used in biopharmaceutical production owing to its superior productivity; however, optimizing feeding trajectories remains a challenge. In this study, we investigated the feasibility and benefits of using a nonlinear …