A Parallel Approach to Generate Sports Highlights from Match Videos Using Artificial Intelligence by Arjun Sivaraman, Tarun Kannuchamy, Anmol Anand, Shivam Dheer, Devansh Mishra, Narayanan Prasanth, S. P. Raja

“…The objective of the paper is to develop an AI model that automates the process of sports highlight generation by taking a match video as input and returning the highlights of the game. …”
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MRCNN: Multi-input residual convolution neural network for three-dimensional reconstruction of bubble flows from light field images by Heng Zhang, Jiayi Li, Niujia Sun, Hua Li, Qin Hang

“…Subsequently, fully automated and highly accurate computations of bubble depth are realized from input images via the incorporation of a multi-input residual convolution neural network (MRCNN). …”
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Nutrient composition databases in the age of big data: foodDB, a comprehensive, real-time database infrastructure by Peter Scarborough, Mike Rayner, Richard Andrew Harrington, Vyas Adhikari

“…As of June 2018, foodDB has 3 193 171 observations of 128 283 distinct food and drink products measured at multiple timepoints.Methods Weekly extraction of nutrition and availability data of products was extracted from the webpages of the supermarket websites. This process was automated with a codebase written in Python.Results Analyses using a single weekly timepoint of 97 368 total products in March 2018 identified 2699 ready meals and pizzas, and showed that lower price ready meals had significantly lower levels of fat, saturates, sugar and salt (p<0.001). …”
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Software-Defined Radio-Based IEEE 802.15.4 SUN FSK Evaluation Platform for Highly Mobile Environments by Jaeseok Lim, Keito Nakura, Shota Mori, Hiroshi Harada

“…However, longer transmission distances in highly mobile environments are required to support various applications in next-generation IoT systems, such as vehicle-to-everything, automated driving, and drone control systems. Although research on wide-area, highly mobile communications has been conducted via computer simulations, an experimental evaluation platform for further research has not been developed. …”
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Epilepsy Diagnosis from EEG Signals Using Continuous Wavelet Transform-Based Depthwise Convolutional Neural Network Model by Fırat Dişli, Mehmet Gedikpınar, Hüseyin Fırat, Abdulkadir Şengür, Hanifi Güldemir, Deepika Koundal

“…Given the unpredictable nature of epileptic seizures, developing automated epilepsy diagnosis systems is increasingly important. …”
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Lentil plant disease and quality assessment: A detailed dataset of high-resolution images for deep learning researchMendeley Data by Eram Mahamud, Md Assaduzzaman, Shayla Sharmin

“…Moreover, the dataset serves as a valuable resource for training and testing machine learning algorithms tailored to agricultural settings, facilitating advancements in automated agricultural technologies. Ultimately, this initiative aims to empower stakeholders in the lentil industry with tools to mitigate disease impact and optimize production practices, paving the way for more resilient and efficient agricultural systems globally.…”
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Integrated assessment of mucilage impact on human health using the One Health approach: Prevalence and antimicrobial resistance profiles of Escherichia coli and Clostridium perfrin... by Artun Yibar, Hilal Ay, Fuat Aydin, Secil Abay, Emre Karakaya, Tuba Kayman, Cem Dalyan, Fatih Dogan Koca, Duygu Aydogdu, Nihed Ajmi, Muhammed Duman, Izzet Burcin Saticioglu

“…Surface and benthic mucilage samples collected from the Marmara Sea were analysed for AMR profiles using genome analysis, the BD Phoenix™ 100 automated system, and E-test methods. The study identified 13 E. coli and one C. perfringens strain, harboring 244 and six AMR genes from 21 and eight drug classes, respectively, along with multiple virulence factors (VFs). …”
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Risk Factors for Endothelial Decompensation after Penetrating Keratoplasty and Its Novel Therapeutic Strategies by Mengyuan Liu, Jing Hong

“…Endothelial keratoplasty has been a useful alternative to repeat standard PKP in eyes with failed grafts. Descemet stripping automated endothelial keratoplasty (DSAEK) and Descemet’s membrane endothelial keratoplasty (DMEK) following failed PKP provide more rapid visual recovery and achieve better rates of graft survival than those of a second PKP. …”
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A simulation study to quantitatively assess the performance of electronic prescribing systems in English NHS Hospital Trusts by Stephanie Klein, Athanasios Tsanas, Jamie Coleman, Rebecca Osselton, Jude Heed, Ann Slee, Neil Watson

“…Anyone who routinely prescribes medication could benefit from digitally assisted automated checks to identify whether a prescription should potentially not be allowed (e.g. drug allergy). …”
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Evaluation of the quality of standing trees using an Arbotom acoustic stress tomograph by Michajlová Katarína, Gejdoš Miloš, Gergeľ Tomáš, Gretsch Dominik

“…Combining the acoustic tomography method with other precision forestry techniques could potentially yield more satisfactory results, paving the way for the development of automated systems for assessing tree quality in forest stands. …”
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PROSPECTS FOR THE DEVELOPMENT OF THE TRADITIONAL ECONOMY IN THE CONTEXT OF THE DIGITAL TRANSFORMATION OF THE ARCTIC ECONOMY by Elena N. Bogdanova, Tatiana M. Romanenko

“…It identifies promising directions for the digitalization of production management processes, including reducing economic risks associated with agrometeorological assessments, forecasting pasture conditions, automating processes, introducing additive technologies, enhancing communication, and improving the quality of life for workers on traditional farms.…”

Multi-AGV multitask collaborative scheduling based on an improved ant colony algorithm by Yazhen Zhu, Qing Song, Meng Li

“…Existing research mainly focuses on the optimization of automated guided vehicle (AGV) path planning and scheduling, emphasizing on the minimization of conflicts and deadlocks, multi-objective task scheduling, and metaheuristic algorithm optimization, while ignoring path stability and real-time path planning in dynamic environments. …”
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Research of Mechanical Resonance Analysis and Suppression Control Method of the Servo Drive System by Wenli Li, Yongkang Liu, Shuaishuai Ge, Daming Liao

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Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction. by Akash Bahai, Chee Keong Kwoh, Yuguang Mu, Yinghui Li

“…The quality of the MSA and secondary structure prediction both play an important role and most methods aren't able to predict non-Watson-Crick pairs in the RNAs. Overall among the automated 3D RNA structure prediction methods, DeepFoldRNA has the best prediction results followed by DRFold as the second best method. …”
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Profile of Candida bloodstream infections among blood culture-positive patients at a tertiary care hospital by S. Shreya, K. Sandhya Bhat

“…Background: Candidemia is a cause of concern today, due to their high rates of association with morbidity and mortality. Automated blood cultures are the gold standard tools for the evaluation of suspected cases of sepsis. …”
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Exploration and Analysis of Collaborative Matching Algorithm Empowering Large Data Fiscal Budget by Rui Gong, Xu Zhang

“…Make the increasingly complex work more automated and intelligent, and improve financial efficiency.…”
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Digital HR tools and their role in improving the competitiveness of companies by V. V. Degtyareva

“…The study identifies factors that characterize the transformation of the HR industry due to the impact of digitalization.The paper shows the experience of implementing SAP Success Factors tools, which indicates that this cloud system, including a set of automated solutions for working with personnel, will allow you to manage talents. …”
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State-of-the-art survey of smart contract verification based on formal methods by Wenbo ZHANG, Simin CHEN, Lifei WEI, Wei SONG, Dongmei HUANG

“…Smart contract represents an essential application scenario of blockchain technology.Smart contract technology improves programmability and scalability of blockchain, and has broad development prospects.However, a series of security incidents caused a great number of economic losses and weakened users’ confidence in the Ethereum platform.The security of smart contract has become a critical problem that restricts the further development of smart contract.Defects in smart contract code may cause serious consequences and cannot be modified once deployed, it is especially important to verify the correctness of smart contract in advance.In recent years, researchers have obtained many achievements in verification of smart contract, but there is a lack of systematic summary of these research results.Therefore, some basic principles of Ethereum were introduced, including the transaction, gas mechanism, storage and programming language.Eight common types of vulnerabilities in smart contract were summarized and their causes were explained.Some real security events were reviewed and some examples of vulnerability codes were presented.Then, the research work on automatic verification of smart contract based on symbolic execution, model checking and theorem proving was classified and summarized.Three open-source automated tools were selected, including Mythril, Slither and Oyente.And experiments were implemented to evaluate and compare the three tools from the aspects of efficiency, accuracy and the types of vulnerability can be detected.Furthermore, related review articles were surveyed, and the advantages of this paper compared with these works were summarized.The critical problems in the vulnerability detection technology of smart contract were also summarized and the direction of future research was proposed at last.…”
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Classification of Invoice Images By Using Convolutional Neural Networks by Sait Ali Uymaz, Ömer Arslan

“…In addition, as the number of invoices to be transferred to digital media increases, the number of possible errors during entry becomes more. This paper aims to automate the transfer of invoices to the digital environment. …”
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Correlation analysis of daily water levels in rivers of the Kaliningrad region based on observation results in 2008–2021 by V. A. Naumov, N. R. Ahmedova

“…The data source was the automated information system of state monitoring of water bodies. …”
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