APPLICATION OF ARTIFICIAL INTELLEGENCE ALGORITHMS TO CONTROL THE USE OF FLOOD-PRONE AREAS by Konstantin A. Kurganovich, Andrey V. Shalikovskiy, Maksim A. Bosov, Denis V. Kochev

“…The analysis of satellite images, being a laborious task, can be automated through the use of specially trained convolutional neural networks of semantic segmentation based on the algorithm proposed in this article. …”

A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning. by Fayaz Hassan, Zafi Sherhan Syed, Aftab Ahmed Memon, Saad Said Alqahtany, Nadeem Ahmed, Mana Saleh Al Reshan, Yousef Asiri, Asadullah Shaikh

“…We proposed a hybrid approach uses automated feature engineering via correlation-based feature selection (CFS) and principal component analysis (PCA)-based dimensionality reduction to reduce feature matrix size before a series of dense layers are used for classification. …”
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A two-stage hybrid NSGA-III with BWO for path planning and task allocation in agricultural land preparation. by Manxian Yang, Yanhong Chen, Yongke Li, Taihong Zhang, Tianlun Wu

“…Automated large-scale farmland preparation operations face significant challenges related to path planning efficiency and uniformity in resource allocation. …”
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CRISPR-Based Programmable Nucleic Acid-Binding Protein Technology Can Specifically Detect Fatal Tropical Disease-Causing Pathogens by Md. Rashidur Rahman, Toma Rani Majumder, Md. Aminul Islam Apu, Alok K. Paul, Afrina Afrose, Biplab Kumar Dash

“…Current advances, including automated multiplexing, ultrasensitive single nucleotide polymorphism (SNP)-based screening, inexpensive paper-based lateral flow readouts, and ease of use in remote global settings, have attracted the scientific community to introduce this technology in nucleic acid-based precise detection of bacterial and viral pathogens at the point of care (POC). …”
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Predictive modeling of cattle calving time emphasizing abnormal and normal cases by using posture analysis by May Phyu Khin, Pyke Tin, Yoichiro Horii, Thi Thi Zin

“…This study proposes a novel system for automated prediction of normal and abnormal cattle calving cases based on posture analysis. …”
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An Enhanced Drone Technology for Detecting the Human Object in the Dense Areas Using a Deep Learning Model by Mohamad Reda A. Refaai, Dhruva R. Rinku, I. Thamarai, null S. Meera, Naresh Kumar Sripada, Simon Yishak

“…In recent years, a lot of interest in automated wildfire identification utilizes UAV-based visual information and various deep learning techniques. …”
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Information processes in Virtual 3D reconstruction of Roman Three-Bay Double Arch of Musti (Tunisia) by Jakub Franczuk

“…The study concludes by showcasing photorealistic visualizations of the reconstructed arch and discussing the potential for automating aspects of the reconstruction process using modern software. …”
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Java deserialization gadget chain discovery method based on hybrid analysis by Yongxing WU, Libo CHEN, Kaida JIANG

“…Java deserialization vulnerabilities have become a common threat to Java application security nowadays.Finding out the gadget chain determines whether this type of vulnerability can be exploited.Due to the large code space of Java applications and dependent libraries and the polymorphism of Java itself, manual analysis of Java deserialization gadget chains consumes a lot of time and effort and it is highly dependent on the experienced knowledge.Therefore, it is crucial to study how to efficiently and accurately automate the discovery of gadget chains.Java deserialization gadget chain discovery method based on hybrid analysis was proposed.Call graph based on the variable declaration type was constructed, and then the deserialization entry functions that may reach the dangerous functions were screened using the call graph analysis.The screened entry functions were used as the entry point of the hybrid information flow analysis.The hybrid information flow analysis was carried out for both pointer and tainted variables.The tainted objects created implicitly were marked.The tainted information and the pointer information were propagated simultaneously to construct the hybrid information flow graph.The reachability of external taint data propagation to the dangerous function was judged based on the hybrid information flow graph.The corresponding deserialization gadget chain was constructed according to the taint propagation path.The hybrid analysis took into account the efficiency of call graph analysis and the accuracy of hybrid information flow analysis.The corresponding static analysis tool, namely GadgetSearch, was implemented based on the proposed hybrid analysis method.In the experimental evaluation, GadgetSearch had lower false positive and lower false negative than the existing tool GadgetInspector on four datasets of Ysoserial, Marshalsec, Jackson historical CVE, and XStream historical CVE.Additionally, GadgetSearch also found multiple undisclosed gadget chains.The experimental results show that the proposed method can efficiently and accurately discover the Java deserialization gadget chain in multiple practical Java applications.…”
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Candida albicans and Napkin Dermatitis: Relationship and Lesion Severity Correlation by Amani Hussein Karsani, Abdullateef A. Alzolibani, Yasser Farouq, Khalid Zedan, Mohammed Mohsen Alotaibi, Ghada Bin Saif, Ibrahim H. Babikir

“…Identification confirmation of the isolates was determined by the Vitek 2 compact automated system. Results: Diaper dermatitis shows significant outcome to washing diaper area (per day) (P=0.001), History of diarrhea last 7 Days (P˂0.001), skin lab results (+/-) for Candida albicans, (P˂0.001), skin colony count, (P˂0.001), However, there is no correlation to age (P=0.828), gender (P=0.368) and feeding style (P=0.401). …”
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MetaboLabPy—An Open-Source Software Package for Metabolomics NMR Data Processing and Metabolic Tracer Data Analysis by Christian Ludwig

“…This includes a choice of algorithms for automated phase correction, segmental alignment, spectral scaling, variance stabilisation, export to various software platforms, and analysis of metabolic tracing data. …”
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Application of Gabor Image Recognition Technology in Intelligent Clothing Design by Sujuan Qiao

“…Secondly, based on the consideration of improving the real-time performance of the intelligent clothing design system, combined with the existing multicore environment, this paper uses the intelligent model to design and implement the image parallel Gabor feature extraction algorithm and uses image processing and analysis technology to analyze the visual elements of traditional clothing and identify and quantify to form a relatively complete clothing visual element evaluation system, which provides a basis for large-scale collection and automated evaluation of clothing visual effects, as well as clothing trend tracking and prediction. …”
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Nanoparticles in Soil Reclamation: A Review of Their Role in Reducing Soil Compaction by Hasan Alkhaza’leh, Michel Rahbeh, Imad Hamadneh, Habes AL-Mashakbeh, Zohuir Albalawna

“…Soil compaction reduces pore space and increases soil bulk density, which hinders plant growth. Globally, automated agriculture has reduced crop production by more than 50%. …”
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Interconnection algorithm of a wide range of pervasive devices for the Internet of things by Tao Chi, Ming Chen

“…Our approach is to perform it independently within the given task, where the given task can be achieved with its sequencing graph entities, including automate selection, binding, and scheduling. We have implemented our algorithms on a field-programmable gate array and applied them to some off-the-shelf products. …”
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Design and fabrication of novel microfluidic-based droplets for drug screening on a chronic myeloid leukemia cell line. by Niloofar Jaafari, Amir Asri Kojabad, Rima Manafi Shabestari, Majid Safa

“…Due to the chip's ability to manipulate small volumes of fluid, high-throughput screening assays can be developed that are both miniaturized and automated. In the present study, we employ microfluidic chips for drug screening in chronic myeloid leukemia. …”
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Experimental Study of Enriched Environment on Neurological Functional Repair in Rats with Cerebral Ischemia-reperfusion Injury by Kewei YU, Yi WU, Hongyu XIE, Gang LIU, Junfa WU

“…Each rat's path in the different conditions was recorded using an automated tracking system. And the distance moved (m), velocity (m/s), mobile duration (s) and moving equency were analyzed by Etho Vision XT 7.0 of Noldus information technology company. …”
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Evaluation of Platelet Parameters in Oral Submucous Fibrosis and Oral Squamous Cell Carcinoma in a Background of Oral Submucous Fibrosis by Packiaraj Selvajothi Ranjitham, Subramanian Kuzhali, Muthu Ponnuswamy Sumathy, Santiago Gnandeepam

“…The haematological parameters of these selected cases were retrieved from the Sysmex XN-1000 automated hematology analyser database. A control group (group I) comprises 50 subjects with normal (negative/unflagged) haematological parameters. …”
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Analysis of Apple Flavours: The Use of Volatile Organic Compounds to Address Cultivar Differences and the Correlation between Consumer Appreciation and Aroma Profiling by Gareth Roberts, Natasha D. Spadafora

“…The range of volatile organic compounds (VOCs) produced by four apple cultivars was assessed by thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS). To facilitate automated dynamic headspace extraction of the VOCs from bulk samples, a small multichamber thermal extraction system was used. …”
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The Diagnostic and Prognostic Value of Kinesin-4A Protein, β-Tubulin Protein, and Exosomes as Non-Invasive Biomarkers in Iraqi Women with Breast Cancer by Samar Hasan Shammar, Hiba Resheed Behayaa, Ahmed F. F. Al-Baaj, Mohammed M. Ewadh, Sura Abd Zaid, Muna M. Ewadh, Mufeed Jalil Ewadh

“…Determination of kinesin-4A, β-tubulin, and exosomes was done by a fully automated Elisys Uno Analyzer before and after mastectomy. …”
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Information support for decision making in problem situation description by S. F. Lipnitsky

“…Objectives. The problem of automating the user information support in decision making system at the stage of describing the problem situation is solved. …”
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Implementation of a Laboratory Information Management System (LIMS) for microbiology in Timor-Leste: challenges, mitigation strategies, and end-user experiences by Tessa Oakley, Juliao Vaz, Fausto da Silva, Raikos Allan, Deonisia Almeida, Karen Champlin, Endang Soares da Silva, Ari Jayanti Tilman, Ian Marr, Heidi Smith-Vaughan, Jennifer Yan, Joshua R. Francis

“…LIMS streamline laboratory operations by automating sample handling, analysis, and reporting, leading to improved quality and faster results. …”
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