Development of Water Level Controller with SMS Capability by Lambe Mutalub Adesina, Olalekan Ogunbiyi, Bilkisu Jimada-Ojuolape

“…Consequently, this paper presents a development of water level controller with SMS capability aimed at measuring water level smartly such that when tank is filled, message would be automatically transmitted as an alert to the owner using GSM for immediate response. …”
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Digital surface models of the Bronze Age fortified settlements of the Southern Trans-Urals (Alandskoye, Arkaim, Verkhneuralskoye, Zarechnoye IV, Sarym-Sakly, Sintashta) by Soldatkin N.V., Molchanov I.V., Sidorin V.M.

“…Here we present the results of program aerial photography in areas of six fortified settlements of the Southern Trans-Urals (end of the 3rd — first quarter of the 2nd millennium BC; Sintashta and Petrovka archaeological cultures). …”
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Imaging Through Turbid Media With Vague Concentrations Based on Cosine Similarity and Convolutional Neural Network by Lina Zhou, Yin Xiao, Wen Chen

“…The combined model presented in this paper is tolerant to the uncertainty of turbidity. …”
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Overview and Comparison of Deep Neural Networks for Wildlife Recognition Using Infrared Images by Peter Sykora, Patrik Kamencay, Roberta Hlavata, Robert Hudec

“…In this paper, we also present a comparison of several well-known artificial neural networks on this data. …”
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Neural models for detection and classification of brain states and transitions by Arnau Marin-Llobet, Arnau Manasanch, Leonardo Dalla Porta, Melody Torao-Angosto, Maria V. Sanchez-Vives

“…Our approach presents a reliable and efficient tool for brain state labeling and analysis, with applications in basic and clinical neuroscience.…”
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Online Identification of Synchronous Generator Electromechanical Parameters for Intelligent Control Problems by Frolov M.Yu., Stepanovich R. Yu., Lizalek N.N., Dulov I.V.

“…The results of parameters determining by the classical methods of open-circuit and short-circuit are presented. The significance of these methods is that the generator is connected to the grid and is in an op-eration mode. …”
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Achieving Faster and Smarter Chest X-Ray Classification With Optimized CNNs by Hassen Louati, Ali Louati, Khalid Mansour, Elham Kariri

“…First, NAS is employed to automatically discover the optimal convolutional neural network (CNN) architecture tailored to the ChestX-Ray14 dataset, reducing the need for extensive manual tuning. …”
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Blended Ensemble Learning for Robust Normal Behavior Modeling of Wind Turbines by Jianghao Zhu, Tingting Pei, Le Su, Bin Lan, Wei Chen

“…ABSTRACT The increasing scale of wind farms demands more efficient approaches to turbine monitoring and maintenance. Here, we present an innovative framework that combines enhanced kernel principal component analysis (KPCA) with ensemble learning to revolutionize normal behavior modeling (NBM) of wind turbines. …”
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Microhooks: A Novel Framework to Streamline the Development of Microservices by Omar Iraqi, Mohamed El Kadiri El Hassani, Anass Zouine

“…Based on the inversion of control and the materialized view patterns, among others, our framework automatically generates and injects the corresponding artifacts, leveraging 100% build time code introspection and instrumentation, as well as context building, for optimized runtime performance. …”
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Development of the E-Portal for the Design of Freeform Varifocal Lenses Using Shiny/R Programming Combined with Additive Manufacturing by Negin Dianat, Shangkuan Liu, Kai Cheng, Kevin Lu

“…This paper presents an interactive online e-portal development and application using Shiny/R version 4.4.0 programming for personalised varifocal lens surface design and manufacturing in an agile and responsive manner. …”
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Extraction and location of subway shield tunnel segment joints from RMLS point clouds by Liying Wang, Ze You, Yong Feng, Chunxi Xie, Mahamadou Camara

“…Then, cross-sections corresponding to circumferential joints are automatically identified and spatially localized using an adaptive multi-threshold algorithm based on local intensity statistics, dividing the tunnel lining into individual shield rings. …”
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“You are doomed!" Crisis-specific and Dynamic Use of Fear Speech in Protest and Extremist Radical Social Movements by Simon Greipl, Julian Hohner, Heidi Schulze, Patrick Schwabl, Diana Rieger

“…The current paper aims to close this gap and provides a definition of FS, its theoretical foundations, and a starting point for (automatically) detecting FS on social media. The paper presents the results of a manual as well as an automated content analysis of three broadly categorized actor types within a larger radical German Telegram messaging sphere (2.9 million posts). …”
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Susceptibility analysis of glacier debris flow by investigating glacier changes based on remote sensing imagery and deep learning: A case study by Shiying Yang, Gang Mei, Yuan Zhang

“…The research results of the study present that the evaluation indices of the deep learning model that extracted glacier boundaries are over 90%. …”
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Design and Implementation of Single Axis Solar Tracking System: Utilizing GPS, Astronomical Equations, and Satellite Dish Actuator for Optimal Efficiency by Rizgar Ahmed Salih, Karzan Qadir Mohammed, Peshawa Osman Hama, Rawaz Othman Hassan, Barham Kamal Noori

“…The designed system is tracked in a discrete manner that can be adjusted automatically during the day related to each degree change of azimuth angle of the sun from sunrise to sunset. …”
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MassCube improves accuracy for metabolomics data processing from raw files to phenotype classifiers by Huaxu Yu, Jun Ding, Tong Shen, Min Liu, Yuanyue Li, Oliver Fiehn

“…Abstract Nontargeted peak detection in LC-MS-based metabolomics must become robust and benchmarked. We present MassCube, a Python-based open-source framework for MS data processing that we systematically benchmark against other algorithms and different types of input data. …”
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Building information modeling–based cyber-physical platform for building performance monitoring by Yun-Yi Zhang, Kai Kang, Jia-Rui Lin, Jian-Ping Zhang, Yi Zhang

“…Building information modeling brings a new way to capture rich information of a building, and has great potential in data interoperability for building performance management. This article presents a scalable building information modeling–based cyber-physical platform for building performance monitoring to integrate heterogeneous data from different buildings. …”
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Accuracy Analysis of Artificial Intelligence in Arabic Language Translation and Grammatical Rule Mapping by Fera Favirotus Siyam, Rahmat Hidayat, Cecep Sobar Rochmat, Rosendah Dwi Maulaya, Annisa Avilya, Muhammad Bahaudin Maulidi

“…The development of Artificial Intelligence (AI) has been used in various applications that are able to translate Arabic and map its grammatical rules automatically. In the field of linguistics, especially Arabic, AI has the potential to help and speed up the translation process as well as complex grammar analysis. …”
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ET-GNN: Ensemble Transformer-Based Graph Neural Networks for Holistic Automated Essay Scoring by Hind Aljuaid, Areej Alhothali, Ohoud Alzamzami, Hussein Assalahi, Tahani Aldosemani

“…Automated Essay Scoring (AES) offers a solution by automatically evaluating essays, reducing the need for human intervention. …”
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Neural network-based image analysis of co-localized microorganisms and human cells on implant materials by Nicolas Debener, Anna Rosner, Jannik Menke, Carina Mikolai, Meike Stiesch, Katharina Doll-Nikutta, Janina Bahnemann

“…Abstract Dental implant-associated infections increase the risk of implant failure, presenting significant challenges in modern dentistry. …”
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Two-Step Robust Fault-Tolerant Controller Design Based on Nonlinear Extended State Observer (NESO) for Unmanned Aerial Vehicles (UAVs) with Actuator Faults and Disturbances by Wei Wang, Yiming Chen, Zhang Ren, Huanhua Liu

“…This paper presents a two-step robust fault-tolerant controller of incorporating disturbances and actuator faults rejection for a UAV flight control system, which is challenging due to its complex and nonlinear dynamics. …”
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