Epileptic seizure detection is commonly implemented by expert clinicians with visual observation of electroencephalography (EEG) signals, which tends to be time consuming and sensitive bias. The epileptic in most previous research suffers from low power unsuitability for processing large datasets. Therefore, a computerized method highly required eradicate the aforementioned problems, expedite epilepsy aid medical professionals. In this work, we propose an automatic diagnosis framework based...

In this note, the cooperative output regulation problem of heterogeneous linear multi-agent systems is investigated. Our approach based on internal model and dynamic error feedback among agents. Under some standard assumptions, solved by an a stabilizing H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> controller. We showed that exo-signal-free system stabilized if each controlled agent robust (in sense norm) to resist disturbance...

The determination of subsurface elastic property models is crucial in quantitative seismic data processing and interpretation. This problem commonly solved by deterministic physical methods, such as tomography or full-waveform inversion. However, these methods are entirely local require accurate initial models. Deep learning represents a plausible class for inversion, which may avoid some the issues purely descent-based approaches. any generic deep network capable relating each cell value to...

This article proposes a unified framework to investigate the leader-following and leaderless consensus problem of general linear multiagent systems under directed communication topology only containing spanning tree. To further reduce use resources for control objective, an energy-saving algorithm is introduced composed double dynamic event-triggered mechanisms that work independently: one intends agents with their neighbors other decide update controllers. It shown performs well compared...

This article investigates the consensus problem of general linear multiagent systems under directed communication graphs with event-triggered mechanisms. First, a novel distributed static mechanism state-dependent threshold is proposed to solve problem, both positive lower bound on average time interval among agents and updates controllers. Thus, Zeno behavior excluded for controller updates. Next, further reduce frequencies controllers, dynamic introduced. By applying mechanisms, can be...

The goal of this paper is to design a fully distributed event-triggered control policy with intermittent communication reach leader-follower consensus vehicular platoons nonzero leader's input and actuator uncertainties. time-dependent condition in manner proposed for checking the necessary data transmission time. Meanwhile, law based on estimated state developed when violated, which ensures platoon can bounded an exponential convergence rate. Compared existing related results, mechanism...

Background: Effective tissue traction is crucial for gastric endoscopic full-thickness resection (EFTR) to ensure a clear visual field the dissection site. We aim evaluate effectiveness of internal using novel clip-with-spring device in assisting EFTR. Patients: A total 26 patients with subepithelial lesions from muscularis propria were enrolled traction-assisted EFTR (IT-EFTR) and other non-assisted (NA-EFTR) as controls. Results: The average tumor size was 1.5 ± 0.4 cm. All EFTRs completed...

Medical image segmentation provides useful information about the shape and size of organs, which is beneficial for improving diagnosis, analysis, treatment. Despite traditional deep learning-based models can extract domain-specific knowledge, they face a generalization bottleneck due to limited embedded knowledge scope. Vision foundation have been demonstrated be effective in extracting generalizable but cannot without fine-tuning. In this work, we propose novel multi-view evidential...

A connected vehicle platoon with unknown input delays is studied in this article. The control objective to stabilize the vehicles, ensuring all vehicles are traveling at same speed while maintaining a safety spacing. decentralized law using only onboard sensors designed for platoon. novel switching-type delay-adaptive predictor proposed estimate delays. By estimated delays, can guarantee stability of successive vehicles. adopts one-vehicle look-ahead topology structure and constant time...

The emergence of smart cities has presented the prospect transforming urban transportation systems into more sustainable and environmentally friendly entities. A pivotal facet achieving this transformation lies in efficient management traffic flow. This paper explores utilization machine learning techniques for predicting flow its application supporting strategies based on data from TRAFFIC CENSUS Hong Kong Transport Department. By analyzing anticipated conditions, government can implement...

Based on the generic “static‐dynamic‐static” framework for strongly coupled basis vectors (Liu and Hoffman, Theor. Chem. Acc. 2014, 133, 1481), an iterative Vector Interaction (iVI) method is proposed computing multiple exterior or interior eigenpairs of large symmetric/Hermitian matrices. Although it works with a fixed‐dimensional search subspace, iVI can converge quickly monotonically from above to exact exterior/interior roots. The efficacy demonstrated by taking both mathematical...

Fluorescence molecular tomography (FMT) is a promising imaging technique in applications of preclinical research. However, the complexity radiative transfer equation (RTE) and ill-poseness inverse problem limit effectiveness FMT reconstruction. In this research, we proposed novel Deep Convolutional Neural Network (DCNN), Gated Recurrent Unit (GRU) Multiple Layer Perception (MLP) based method (DGMM) for Instead establishing photon transmission models solving problem, directly fits nonlinear...

This article investigates optimal control for a class of large-scale systems using data-driven method. The existing methods in this context separately consider disturbances, actuator faults, and uncertainties. In article, we build on such by proposing an architecture that accommodates simultaneous consideration all these effects, optimization index is designed the problem. diversifies amenable to control. We first establish min–max based zero-sum differential game theory. Then, integrating...

The problem of the stochastic event-based distributed fusion estimation for a class Gaussian systems is investigated. Considering deterministic event-triggers destroying property system states, event-triggered mechanisms (SETMs) are used, which also can relieve network transmission burden. Under schedules, two-step method developed. first step, with consideration channel fading, local each sensor proposed by using measurements from itself and its neighbors. second algorithm designed to...

The security problem of cyber-physical systems (CPSs) under the injection attack is investigated in this article. A switching data strategy based on game approach proposed, which makes attacker consume less energy and more difficult to defend. In addition, constraint limited resources considered. Noting that defender are antagonistic article, framework a zero-sum used describe relation, finite-horizon quadratic cost function also defined. objective article find an appropriate offensive...

Background and Purpose Cardiac glycosides (CGs), traditionally prescribed for heart failure arrhythmias, show anticancer potential. However, their mechanisms preferential inhibition of tumour tissue constituent malignant cells are not fully elucidated. This study aims to elucidate the therapeutic benefits CGs in targeting specific tumours dissect multi‐targeting that confer cytotoxicity against cells. Experimental Approach We designed an integrated workflow identify with high toxicity...

This article investigates the output consensus problem of heterogeneous linear multiagent systems under directed communication graphs. A novel adaptive dynamic event-triggered mechanism is proposed, intending to further save system resources consumed in between agents and controller update themselves, remove assumption that global information associated with topology should be known advance for design control parameters. Unlike existing related algorithms, proposed algorithm could...