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IEEE Transactions on AgriFood Electronics 2025年第1期3卷 121-133页

作者： Bera, Asish Krejcar, Ondrej Bhattacharjee, Debotosh Birla Institute of Technology and Science Department of Computer Science and Information Systems Pilani333031 India University of Hradec Kralove Center for Basic and Applied Science Faculty of Informatics and Management Hradec Kralove50003 Czech Republic Skoda Auto University Mlada Boleslav29301 Czech Republic Universiti Teknologi Malaysia Malaysia Japan International Institute of Technology Kuala Lumpur81310 Malaysia Jadavpur University Department of Computer Science and Engineering Kolkata700032 India

Deep convolutional neural networks (CNNs) have facilitated remarkable success in recognizing various food items and agricultural stress. A decent performance boost has been witnessed in solving the agro-food challenges by mining and analyzing region-based partial feature descriptors. Also, computationally expensive ensemble learning schemes fusing multiple CNNs have been studied in earlier works. This work proposes a region attention scheme for modeling long-range dependencies by building a correlation among different regions within an input image. The attention method enhances feature representation by learning the usefulness of context information from complementary regions. Spatial pyramidal pooling and average pooling pairs aggregate partial descriptors into a holistic representation. Both pooling methods establish spatial and channelwise relationships without incurring extra parameters. A context gating scheme is applied to refine the descriptiveness of weighted attentional features, which is relevant for classification. The proposed region attention network for food items and agricultural stress recognition method, dubbed RAFA-Net, has been experimented on three public food datasets, and has achieved state-of-the-art performances with distinct margins. The highest top-1 accuracy of RAFA-Net is 91.69%, 91.56%, and 96.97% on the UECFood-100, UECFood-256, and MAFood-121 datasets, respectively. In addition, better accuracies have been achieved on two benchmark agricultural stress datasets. The best top-1 accuracies on the Insect Pest (IP-102) and PlantDoc-27 plant disease datasets are 92.36%, and 85.54%, respectively;implying RAFA-Net's generalization capability. © 2023 IEEE.

关键词： Plant diseases

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Sustainable energy management in the AI era: a comprehensive analysis of ML and DL approaches

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Computing 2025年第6期107卷 1-64页

作者： Javed, Haseeb Eid, Fatma El-Sappagh, Shaker Abuhmed, Tamer Department of Computer Science and Engineering College of Computing and Informatics Sungkyunkwan University Suwon Korea Republic of Technology Management Stony Brook University NY11794 United States Applied Artificial Intelligence College of Computing and Informatics Sungkyunkwan University Suwon Korea Republic of Faculty of Computer Science and Engineering Galala University Suez435611 Egypt Information Systems Department Faculty of Computers and Artificial Intelligence Benha University Banha13518 Egypt

This study comprehensively analyzes the application of innovative deep learning (DL) and machine learning (ML) techniques in smart energy management systems (EMSs), with an emphasis on load forecasting, demand response, and the development of smart energy sectors. The application of various ML and DL models were examined in over 200 studies from 2014 to 2024 in an electrical network's EMS to highlight the key benefits and advances made by each technology for the sustainable management systems in energy sector. The findings emphasize DL and ML models’ enhanced precision and predictive capabilities in load forecasting, their efficacy in enabling efficient demand response mechanisms, and their significance in supporting the development of smart energy sectors. Furthermore, recommendations are made based on the survey results to assist in incorporating these techniques into EMS frameworks, such as investment in data infrastructure, model training and validation, and collaboration between researchers, industry experts, and policymakers. The study also discusses the limitations identified in the literature, such as limited real-world implementations, challenges regarding quality and data availability, and the need for enhanced ML and DL model interpretability. Addressing these limitations can assist in increasing the application and efficacy of ML and DL techniques in EMSs, enabling a more efficient and sustainable energy landscape. Finally, this study facilitates researchers' exploration of ML and DL in energy management, highlighting relevant limitations, strengths, and alternative approaches associated with sustainable energy management. It also indicates potential future research directions for further investigation. © The Author(s) 2025.

关键词： Power management (telecommunication)

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A Hybrid Adaptive Filter for Head Tracking in Augmented Reality (AR)-based Flight Simulators

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IEEE Transactions on Computers 2025年

作者： Nwobodo, Onyeka J. Kuaban, Godlove Suila Nkemeni, Valery Wereszczynski, Kamil Cyran, Krzysztof A. Silesian University of Technology Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Gliwice Poland Polish Academy of Sciences Institute of Theoretical and Applied Informatics Poland University of Buea Laboratory of Electrical Engineering and Computing Faculty of Engineering and Technology Buea Cameroon

This paper presents a novel approach for head tracking in augmented reality (AR) flight simulators using an adaptive fusion of Kalman and particle filters. This fusion dynamically balances the strengths of both algorithms, leveraging Kalman filters for computational efficiency and particle filters for handling non-linearities based on real-time factors such as sensor noise and head movement patterns. Our method demonstrates superior tracking precision and reduced latency, making it particularly effective for immersive pilot training in AR-based flight simulations. While focused on flight simulation, our approach holds high potential for broader applications in other AR and virtual reality (VR) environments where precise, real-time head tracking is crucial. These results provide actionable design guidance for developers optimizing tracking systems in environments that require fast response times and high accuracy. Future extensions of this research could explore the generalization of our approach across diverse AR applications, including human-computer interaction (HCI), medical simulations, and gaming. © 1968-2012 IEEE.

关键词： Flight simulators

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Exploring digital interventions for business resilience during crisis-a systematic literature review 16

Exploring digital interventions for business resilience duri...

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16th International Conference on ENTERprise Information systems, CENTERIS 2024 - 12th International Conference on Project MANagement, ProjMAN 2024 - 14th International Conference on Health and Social Care Information systems and Technologies, HCist 2024

作者： Dzandu, Michael D. De Cesare, Sergio Evans, Richard Tang, Yinshan School of Applied Management Westminster Business School University of Westminster 35 Marylebone Road LondonNW1 5LS United Kingdom Faculty of Computer Science Dalhousie University 6050 University Avenue HalifaxB3H 4R2 Canada Business Informatics Systems and Accounting Henley Business School University of Reading ReadingRG6 6UD United Kingdom

Enterprises responded to the COVID-19 outbreak by deploying various digital technology interventions to achieve business resilience. However, little is known about the nature of enterprise digital technology resilience that emerged during the pandemic and how these can inform businesses to build resilience for future pandemics. The purpose of this study therefore is to explore digital technology interventions and enterprise resilience during the pandemic to inform the development of a pandemic resilience framework for future pandemics. A systematic literature review is being conducted on twenty-three relevant articles sourced from the Scopus database on digital technology intervention and resilience during the COVID-19 pandemic. The analysis of the relevant articles using VOSviewer visualisation revealed five key thematic areas namely information systems, digital health, digital intervention and social media;COVID-19 and wellbeing, and digital resilience. The nature, scope and type of digital technology interventions were mainly data resources, information systems and online platforms. Generally, businesses faced technical, motivational and governance challenges deploying digital technology intervention to emerge resilient from the pandemic. The study concluded that the need for future pandemic preparedness is now, and the lessons learned from businesses in using digital interventions during the recent pandemic are useful. The implications of the study for businesses, policymaking and theorizing in the area of digital intervention and resilience have been highlighted. © 2025 The Author(s).

关键词： business digital technologies Enterprises interventions pandemic resilience

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Exploring digital interventions for business resilience during crisis – a systematic literature review

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Procedia Computer science 2025年 256卷 641-648页

作者： Michael D. Dzandu Sergio De Cesare Richard Evans Yinshan Tang School of Applied Management Westminster Business School University of Westminster 35 Marylebone Road London NW1 5LS UK Faculty of Computer Science at Dalhousie University 6050 University Avenue Halifax B3H 4R2 Canada Business Informatics Systems and Accounting Henley Business School University of Reading Reading RG6 6UD UK

Enterprises responded to the COVID-19 outbreak by deploying various digital technology interventions to achieve business resilience. However, little is known about the nature of enterprise digital technology resilience that emerged during the pandemic and how these can inform businesses to build resilience for future pandemics. The purpose of this study therefore is to explore digital technology interventions and enterprise resilience during the pandemic to inform the development of a pandemic resilience framework for future pandemics. A systematic literature review is being conducted on twenty-three relevant articles sourced from the Scopus database on digital technology intervention and resilience during the COVID-19 pandemic. The analysis of the relevant articles using VOSviewer visualisation revealed five key thematic areas namely information systems, digital health, digital intervention and social media; COVID-19 and wellbeing, and digital resilience. The nature, scope and type of digital technology interventions were mainly data resources, information systems and online platforms. Generally, businesses faced technical, motivational and governance challenges deploying digital technology intervention to emerge resilient from the pandemic. The study concluded that the need for future pandemic preparedness is now, and the lessons learned from businesses in using digital interventions during the recent pandemic are useful. The implications of the study for businesses, policymaking and theorizing in the area of digital intervention and resilience have been highlighted.

关键词： Enterprises business digital technologies interventions resilience pandemic

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High speed micromanipulation system with multi-scalability

High speed micromanipulation system with multi-scalability

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2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

作者： Avci, Ebubekir Ohara, Kenichi Takubo, Tomohito Mae, Yasushi Arai, Tatsuo Faculty of Systems Science and Applied Informatics Osaka University Japan

ISBN: (纸本)9781457721373

Many studies have been conducted for mechanical property measurement of microobjects. Most of these studies have a micromanipulation system which can only measure mechanical properties. However, if cell manipulation and mechanical property measurement could be carried on simultaneously with the same system, work efficiency would be greatly improved. It has been realized that our micro manipulation system can conduct both of tasks simultaneously. Then it has been understood that, if our manipulation system can be improved in terms of workspace and speed, this system will be much more suitable for cell analysis and manipulation tasks. In this paper, two main subjects have been explained. Workspace improvement method to manipulate different size microobjects with the same system is explained. Moreover, problems about high speed manipulation and solutions are described and high speed ability of the system is shown by comparing similar studies. © 2011 IEEE.

关键词： Molecular biology

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Robust suboptimal local basis function algorithms for identification of nonstationary FIR systems in impulsive noise environments

arXiv

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arXiv 2025年

作者： Niedzwiecki, Maciej Gancza, Artur Zulawinski, Wojciech Wylomanska, Agnieszka University of Technology Faculty of Electronics Telecommunications and Informatics Department of Signals and Systems Gdańsk Poland Faculty of Pure and Applied Mathematics Hugo Steinhaus Center Wroclaw University of Science and Technology Wroclaw Poland

While local basis function (LBF) estimation algorithms, commonly used for identifying/tracking systems with time-varying parameters, demonstrate good performance under the assumption of normally distributed measurement noise, the estimation results may significantly deviate from satisfactory when the noise distribution is impulsive in nature, for example, corrupted by outliers. This paper introduces a computationally efficient method to make the LBF estimator robust, enhancing its resistance to impulsive noise. First, the choice of basis functions is optimized based on the knowledge of parameter variation statistics. Then, the parameter tracking algorithm is made robust using the sequential data trimming technique. Finally, it is demonstrated that the proposed algorithm can undergo online tuning through parallel estimation and leave-one-out cross-validation. © 2025, CC BY.

关键词： Time of arrival

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People tracking with body pose estimation for human path prediction

People tracking with body pose estimation for human path pre...

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2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012

作者： Ratsamee, Photchara Mae, Yasushi Ohara, Kenichi Takubo, Tomohito Arai, Tatsuo Division of Systems Science and Applied Informatics Graduate School of Engineering Science Osaka University Japan Faculty of Systems Science and Applied Informatics Osaka University Japan

ISBN: (纸本)9781467312776

Prediction and observation of human motion are essential functions for robots co-existing with humans in everyday environments. We propose a people motion tracking and prediction approach by using the advantage of detailed 3D information about the positions of body joints. Using the shoulder position displayed in a geometrical skeleton diagram of a human's upper body part, the body pose from the proposed human kinematic model is estimated. Human motion tracking and path prediction are achieved via the extended Kalman Filter. The proposed method is verified in an indoor environment where humans pass by each other. Experiment results demonstrate that walking people and their body pose are robustly tracked and predicted accurately, with less occlusions compared to traditional human tracking. © 2012 IEEE.

关键词： Kalman filters

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Vertex-antimagic Labelings of Regular Graphs

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Acta Mathematica Sinica,English Series 2012年第9期28卷 1865-1874页

作者： Ali AHMAD Kashif ALI Martin BACA Petr KOVAR Andrea SEMANICOVA-FENOVCíKOVA College of Computer Science and Information Systems Jazan University Faculty of Mathematics COMSATS Institute of Information Technology Department of Applied Mathematics and Informatics Technical University Department of Applied Mathematics VB-Technical University of Ostrava

Let G = （V, E） be a finite, simple and undirected graph with p vertices and q edges. An （a, d）-vertex-antimagic total labeling of G is a bijection f from V（G） t2 E（G） onto the set of consecutive integers 1, 2,... ,p ＋ q, such that the vertex-weights form an arithmetic progression with the initial term a and difference d, where the vertex-weight of x is the sum of the value f（x） assigned to the vertex x together with all values f（xy） assigned to edges xy incident to x. Such labeling is called super if the smallest possible labels appear on the vertices. In this paper, we study the properties of such labelings and examine their existence for 2r-regular graphs when the difference d is 0, 1,..., r ＋ 1.

关键词： Super vertex-antimagic total labeling vertex-antimagic edge labeling regular graph

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Tailored morphology of indium-doped titania via sol-gel method for enhanced photocatalysis

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Ceramics International 2025年

作者： Rehman, Junaid ur Zeng, Yilan Javed, Sofia Gohar, Osama Ahmad, Awais Bouyer, Melany Mujahid, Mohammad Motola, Martin H-12 Islamabad44000 Pakistan Texas State University San MarcosTX78666 United States Department of Inorganic Chemistry Faculty of Natural Sciences Comenius University Bratislava Ilkovicova 6 Bratislava842 15 Slovakia Department of Environmental Ecology and Landscape Management Faculty of Natural Sciences Comenius University Bratislava Mlynska Dolina Ilkovicova 6 Bratislava842 15 Slovakia Department of Mechanical and Electrical Systems Engineering of Engineering Kyoto University of Advanced Science Gotanda-cho Yamanouchi Ukyo-ku Kyoto 615-8577 Japan Department of Chemistry The University of Lahore Lahore Pakistan Department of Chemistry and Biochemistry Texas State University San MarcosTX78666 United States Department of Materials Science and Engineering Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology Mang Khyber Pakhtunkhwa Haripur22601 Pakistan Center for Nanotechnology and Advanced Materials Faculty of Mathematics Physics and Informatics Comenius University Bratislava Mlynska Dolina Bratislava842 48 Slovakia

This study investigates the photocatalytic decomposition of methylene blue (MB) using indium-doped titania nanoparticles (TiO2 NPs), synthesized via the sol-gel reflux method, and explores their potential in heterojunction photocatalysis. Titanium tetraisopropoxide was utilized as the precursor, with indium (In) incorporated in varying concentrations (0.25, 0.50, and 0.75 wt%) to enhance photocatalytic activity. Scanning electron microscopy and atomic force microscopy that revealed particle sizes ranging from 12 to 22 nm. X-ray diffraction and Raman spectroscopy confirmed the formation of phase-pure nanocrystalline anatase TiO2. Fourier transform infrared spectroscopy verified the presence of Ti-O-Ti bonding characteristic of the anatase phase. Surface area analysis indicated an increase in surface area with indium doping, rising from 102.9982 m2/g (0.25 wt% In-doped) to 104.5035 m2/g (0.50 wt% In-doped) and reaching 109.8041 m2/g at the highest concentration. Optical properties revealed a corresponding decrease in bandgap energy, which dropped from 3.31 eV (pure TiO2) to 2.97 eV (0.75 wt% In-doped). The results demonstrated that indium doping significantly enhanced the overall photocatalytic degradation of MB, 85 % degradation was achieved after 8 h of UV irradiation at 0.25 wt% In-doped TiO2, making indium-doped titania a promising material for photocatalytic applications. © 2025 The Authors

关键词： Fourier transform infrared spectroscopy

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