Task-Related Controllability of Functional Connectome During a Working Memory Task in Schizophrenia, Bipolar Disorder, and Major Depressive Disorder by Jun Yang, Zhening Liu, Feiwen Wang, Wenjian Tan, Danqing Huang, Xuan Ouyang, Haojuan Tao, Guowei Wu, Yunzhi Pan, Jie Yang, Lena Palaniyappan

“…We examined functional magnetic resonance imaging data during an n-back WM task from 105 patients with schizophrenia (SZ), 67 with bipolar disorder (BD), 51 with major depressive disorder (MDD), and 80 healthy controls (HCs). …”
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Methodology for forecasting average long-term damage in the economic justification of flood protection measures by Andrey V. Shalikovsky, Sergey G. Kosarev, Konstantin A. Kurganovich, Maxim A. Bosov, Alla V. Maslova, Evgenia Kh. Zykova, Alexey A. Solodukhin, Denis V. Kochev

Application of modified equations of dynamics of average for operational forecasting of the turn and results of battle action by Borys Butvin, Olexander Mashkin, Olexii Solomitskii

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EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments by Asfandyar Khan, Faizan Ullah, Dilawar Shah, Muhammad Haris Khan, Shujaat Ali, Muhammad Tahir

“…To tackle these challenges, we propose a novel ML-based EcoTaskSched model, which leverages deep learning for energy-efficient task scheduling in fog-cloud networks. …”
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Transformer-based latency prediction for stream processing task by Zheng Chu, Baozhu Li, Changtian Ying

“…Abstract Latency prediction for stream processing tasks (SPTs) is a critical issue for stream computing, parameter tuning, load optimization, task scheduling, etc. …”
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Energy-Aware Task Allocation for Multi-Cloud Networks by Sambit Kumar Mishra, Sonali Mishra, Ahmed Alsayat, N Z Jhanjhi, Mamoona Humayun, Kshira Sagar Sahoo, Ashish Kr. Luhach

“…The proposed task allocation algorithm (Energy-aware Task Allocation in Multi-Cloud Networks (<italic>ETAMCN</italic>)) minimizes the overall energy consumption and also reduces the makespan. …”
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Task domain independent speech keyword detection system by HAN Jiang, LIU Xiao-xing, YAN Yong-hong, ZHANG Peng-yuan

“…A multiple scale acoustic modeling framework for task-domain independent keyword spotting was proposed.A large-scale phoneme set was obtained automatically through decision-tree based phoneme clustering,and a large-scale phoneme acoustic context dependent background model was trained accordingly through using standard HMM training framework.The modeling accuracy for filler speech is improved.Under the framework,an efficient searching space construction through using shared HMM state was also described.Experimental results showed that in average absolute 6.9% improvement of keyword recognition accuracy could be obtained.Furthermore an acoustic context neighbor algorithm to measure acoustic confidence and a method of computing candidate keyword likelihood based on proposed multiple-scale acoustic model were proposed and a fusing method based on FLDA was adopted.The effectiveness of acoustic confidence measure is improved significantly.Experimental results showed that absolute 3.0% reduction of equal error rate could be obtained.…”
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Energy Efficiency of Task Allocation for Embedded JPEG Systems by Yang-Hsin Fan, Jan-Ou Wu, San-Fu Wang

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Tailoring coherent beam combined laser pulse trains for high peak and average power applications by Claude-Alban Ranély-Vergé-Dépré, Corentin Lechevalier, Jordan Andrieu, Ihsan Fsaifes, Igor Jovanovic, Jean-Christophe Chanteloup

“…Operation in the femtosecond regime at high repetition rates gives access to a wide range of applications requiring both high peak and average powers. We address the task of independent peak versus average power adjustment needed for applications seeking to decouple nonlinear phenomena associated with GW peak power from the thermal load inherent to kW average power operation. …”
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Possibilities of comparing the average annual effective doses of medical personnel in Russia and some foreign countries by S. Yu. Bazhin, E. N. Shleenkova, G. N. Kaidanovsky, V. A. Ilyin

“…The analysis of published data on the average annual effective doses to personnel of Russia, Germany, Switzerland, France and Canada in dynamics for 2013-2017 was performed. …”
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Signal‐Averaged ECG in the Diagnostic Workup for Arrhythmogenic Cardiomyopathy: Insights From the Nordic ARVC Registry by Aleksei A. Savelev, Eivind W. Aabel, Anneli Svensson, Pia Dahlberg, Alex Hørby Christensen, Trine Madsen, Henning Bundgaard, Tiina Heliö, Aevar Ulfarsson, Thor Edvardsen, Jesper H. Svendsen, Henrik K. Jensen, Kristina H. Haugaa, Pyotr G. Platonov

“…Background The diagnostic role of signal‐averaged ECG (SAECG) in arrhythmogenic right ventricular cardiomyopathy (ARVC) has lately been questioned. …”
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Automatic Calculation of Average Power in Electroencephalography Signals for Enhanced Detection of Brain Activity and Behavioral Patterns by Nuphar Avital, Nataniel Shulkin, Dror Malka

“…The present study proposes a novel methodology for the automated calculation of the average power of EEG signals, with a particular focus on the beta frequency band which is known for its pronounced activity during cognitive tasks such as 2D content engagement. …”
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A lightweight vision transformer with weighted global average pooling: implications for IoMT applications by Huiyao Dong, Igor Kotenko, Shimin Dong

“…These findings indicate the model’s robustness and generalisation across various medical image analysis tasks, thereby enhancing the applicability of ViTs in resource-limited IoMT devices.…”
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COMPARISON OF THE KEY ECONOMIC STIMULUS PROPOSALS TO ACHIEVE THE RUSSIAN GDP GROWTH RATES ABOVE THE WORLD AVERAGE by A. O. Alekhnovich

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Use of weight measurement algorithm on the basis of moving average filter in the recorder of overhead crane operation parameters by A. N. Nazarov, S. D. Ivanov

“…The design of the algorithm based on the moving average filter is proposed.Materials and Methods. …”
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Computation task offloading algorithm and system level simulation for vehicles by Qicheng ZENG, Yuxuan SUN, Sheng ZHOU

“…With the development of autonomous driving and vehicular network,more and more vehicles will have powerful computing capabilities and connection with each other via wireless network.These computing resources can not only be applied to automatic driving,but also provide a wide range of edge computing services.Aiming at the task offloading among vehicles,a distributed task offloading algorithm based on online learning was proposed to minimize the average offloading delay.Furthermore,a system-level simulation platform was built to evaluate the impact of vehicle density and number of tasks on the average offloading delay in both highway and urban scenarios.The results provide a reference for the resource allocation and deployment of task offloading in different traffic situations.…”
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An Efficient Resource Allocation Algorithm for Task Offloading in the Internet of Vehicles by Ahmad Salehi, Sadoon Azizi

“…The algorithm optimizes CPU resource allocation based on task generation rates, average task sizes, and a calculated weight coefficient for each task type. …”
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Edge Server Placement and Task Allocation for Maximum Delay Reduction by Koki Shibata, Sumiko Miyata

“…Conventional edge computing methods focus on reducing the average propagation delay of user-processing requests (tasks). …”
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An Efficient Evolutionary Task Scheduling/Binding Framework for Reconfigurable Systems by A. Al-Wattar, S. Areibi, G. Grewal

“…The proposed algorithms tend to reuse hardware tasks to reduce reconfiguration overhead, migrate tasks between software and hardware to efficiently utilize resources, and reduce computation time. …”
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Robust neural network filtering in the tasks of building intelligent interfaces by A. V. Vasiliev, A. O. Melnikov, S. A. Lesko

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