Ensemble stacked model for enhanced identification of sentiments from IMDB reviews by Komal Azim, Alishba Tahir, Mobeen Shahroz, Hanen Karamti, Annia Almeyda Vazquez, Angel Rojas Vistorte, Imran Ashraf

“…The suggested ensemble RRLS model performs better than other learning algorithms and achieves a 90% accuracy rate, outperforming current methods. …”
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Mapping urban green structures using object-based analysis of satellite imagery: A review by Shivesh Kishore Karan, Bjørn Tobias Borchsenius, Misganu Debella-Gilo, Jonathan Rizzi

“…Future directions for UGS mapping include the integration of deep learning algorithms, advancements in satellite data technologies, and the development of standardized classification frameworks. …”
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ANALISIS OF THE INFLUENCE OF THE MAIN PARAMETERS AND CONDITION OF WORK OF AIRCRAFT CESN ON THE EFFICENCY OF THEIR USE METHODS OF MATHEMATICAL MODELING by V. I. Troitsky

“…The aim of the numerical experiments was the analysis of the influence of the main parameters (characteristics of the radiometer and antenna, a means of reviewing the space, parameters of the current image and the reference image, methods for image processing (algorithms for image correlation), conditions of the equipment operation (the speed and altitude of aircraft, the evolution of media) on the efficiency of CESN. …”
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BRIDGING THE GAP: OPPORTUNITIES, CHALLENGES AND STRATEGIES FOR AI DEPLOYMENT IN PUBLIC SERVICE DELIVERY by Richard Douglas Kamara

“…At the same time, it emphasises significant challenges, such as algorithmic bias, data privacy risks, public trust deficits, and resource disparities that may impede the equitable adoption of AI. …”
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TS-PAID: A Two-Stage PUF-Based Lightweight Authentication Protocol for Internet of Drones by Shehzad Ashraf Chaudhry, Azeem Irshad, Bander A. Alzahrani, Ahmad Alhindi, Mohd Shariq, Ashok Kumar Das

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Peculiarities of Forming the Methodology for Investigating Criminal Offenses against the Authority of State Agencies in the Law Enforcement Sphere by V. O. Gusieva

“…It has been established that the structure of methods of investigating criminal offenses against the authority of state agencies in the field of law enforcement activity should consist of the following elements: 1) forensic characteristics of criminal offenses against the authority of state agencies in the field of law enforcement activity; 2) circumstances to be established; 3) features of the beginning of criminal proceedings, typical investigative situations, algorithms of investigative (search) and procedural actions at the initial and subsequent stages of investigation; 4) specific features of tactics of conducting certain investigative (search), covert investigative (search) and procedural actions; 5) general features of using special knowledge; 6) specific features of forensic prevention of criminal offenses against the authority of state agencies in the field of law enforcement activity.…”
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Collective behavior quantification on human odor effects against female Aedes aegypti mosquitoes-Open source development. by Abdul Halim Poh, Mahmoud Moghavvemi, Cherng Shii Leong, Yee Ling Lau, Alireza Safdari Ghandari, Alexlee Apau, Faisal Rafiq Mahamd Adikan

“…Although tracking large numbers of individual insects is hailed as one of the characteristics of an ideal automated image-based tracking system especially in 3D, it also is a costly method, often requiring specialized hardware and limited access to the algorithms used for mapping the specimens. The method proposed contributes towards (a) unlimited open source use, (b) a low-cost setup, (c) complete guide for any entomologist to adapt in terms of hardware and software, (d) simple to use, and (e) a lightweight data output for collective behavior analysis of mosquitoes. …”
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Multi-omics and single-cell approaches reveal molecular subtypes and key cell interactions in hepatocellular carcinoma by Xueqing Zou, Xueqing Zou, Yongmei Wang, Mingyuan Luan, Yizheng Zhang

“…IntroductionHepatocellular carcinoma is a highly aggressive and heterogeneous malignancy with limited understanding of its heterogeneity.MethodsIn this study, we applied ten multi-omics classification algorithms to identify three distinct molecular subtypes of HCC (C1–C3). …”
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Decentralizing governance: exploring the dynamics and challenges of digital commons and DAOs by Mark Esposito, Mark Esposito, Terence Tse, Danny Goh

“…The conclusion calls for communitarian models that fuse algorithmic rule enforcement with human-centered deliberation to protect the emancipatory potential of blockchain governance. …”
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Impact of a USMLE Step 2 Prediction Model on Medical Student Motivations by Anthony Shanks, Ben Steckler, Sarah Smith, Debra Rusk, Emily Walvoord, Erin Dafoe, Paul Wallach

“…METHOD Traditional statistical models and machine learning algorithms to identify predictors of Step 2 CK performance were utilized. …”
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Development of a Smart Lock System using QR Code Technology by Mary Adedoyin, Farouq Olukoya

“…This work contributes to the field of security technology by providing an efficient and scalable smart lock system with novel algorithms, which enhances the convenience, robustness of access control and seamless user experience. …”
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Do Sharpness-Based Optimizers Improve Generalization in Medical Image Analysis? by Mohamed Hassan, Aleksandar Vakanski, Boyu Zhang, Min Xian

“…This success has led to the development of several advanced sharpness-based algorithms aimed at addressing the limitations of SAM, such as Adaptive SAM, Surrogate-Gap SAM, Weighted SAM, and Curvature Regularized SAM. …”
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Chemotranscriptomic analysis of 7-hydroxymatairesinol-related effects on MCF7 human breast tumor cells by I. Yu. Torshin, A. N. Rubashkina, O. A. Gromova

“…The GEO (Gene Expression Omnibus) database contains samples of data from transcriptomic studies allowing to model dose-dependent compound-related effects on gene expression based on the chemograph-derived combinatorial analysis algorithms. As a result, a panel of genes with altered expression is generated, which are analyzed by the functional linkage method using the international nomenclature of Gene Ontology (GO) linked to biological roles of genes/proteins.Results. …”
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Properties of the SURE Estimates When Using Continuous Thresholding Functions for Wavelet Shrinkage by Alexey Kudryavtsev, Oleg Shestakov

“…Wavelet analysis algorithms in combination with thresholding procedures are widely used in nonparametric regression problems when estimating a signal function from noisy data. …”
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A Novel Hybrid Analysis Method of LLC Resonant Converter for High Accuracy and Low Computational Burden by Su-Seong Park, Rae-Young Kim

“…The AI-based analysis model is a method that generates the relationship between design input variables and output variables of magnetic components through AI algorithms and uses this as an analysis model. To verify the effectiveness of the proposed method, a 1kW LLC resonant converter prototype is used, and the efficiency and temperature estimation accuracy of the proposed method are measured under various capacity conditions, input and output voltage conditions, resonant network conditions, and load conditions. …”
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Latent space autoencoder generative adversarial model for retinal image synthesis and vessel segmentation by K. Radha, Yepuganti Karuna

“…In recent years, deep learning has made significant steps in various fields, including medical image processing. Numerous algorithms have been developed for segmenting retinal vessels in fundus images, demonstrating excellent performance. …”
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SIMULATION OF PERIPHERAL DEVICE SECURITY: IMPLEMENTATION AND PRACTICAL EVLUATION OF ADDRESS SPACES PROTECTION IN A TRUSTED MICROPROCESSOR EMULATOR by Mikael A. Kondakhchan, Nikita A. Grevtsev, Peter A. Chibisov

“…The methodology of instruction-level simulation offers unique opportunities for testing security algorithms, including comprehensive functionality verification, optimization of operational parameters, and analysis of cybersecurity mechanisms. …”
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Spatial-temporal data analysis of digital twin [version 1; peer review: 1 approved, 2 approved with reservations] by Qian Ai, Lei Tang, Xing He, Bo Pan, Robert Qiu

“…We provide a concise yet comprehensive tutorial on spatial-temporal analysis considering data, theories, algorithms, indicators, and applications. The advantages of our spatial-temporal analysis are discussed, including model-free mode, solid theoretical foundation, and robustness against ubiquitous uncertainty and partial data error. …”
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Research on application of artificial intelligence safety production management and control platform in Shendong mining area by Yazhong CUI, Jianrong HE, Yanyan REN

“…The relevant trained AI models and algorithms are deployed to the scene of coal mine safety production, further improving the intelligence level of coal mine expert systems, robots, decision management, safety management and equipment monitoring. …”
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Lost in translation: using global fact-checks to measure multilingual misinformation prevalence, spread, and evolution by Dorian Quelle, Calvin Yixiang Cheng, Alexandre Bovet, Scott A. Hale

“…Misinformation changes over time, reducing the effectiveness of static claim matching algorithms. The findings advocate for expanded information sharing between fact-checkers globally while underscoring the importance of localized verification.…”
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