The Role of Artificial Intelligence in Aviation Construction Projects in the United Arab Emirates: Insights from Construction Professionals by Mariam Abdalla Alketbi, Fikri Dweiri, Doraid Dalalah

“…AI tools can predict delays, optimize workflows, and enhance safety through real-time data analytics and machine learning algorithms, reducing risks and human error. Despite the UAE’s leadership in AI-driven security advancements, its use in aviation construction is still underdeveloped. …”
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Optimizing Budget Deficit in Multi-Construction Projects Using Sequential Quadratic Programming by Hasan Musaab Falih, Sodani Noor A. Abdul-Jabbar Al, Salih Jihan Maan, Mohammed Sawsan Rasheed

“…Sequential quadratic programming algorithms (SQP) generate workable schedules that optimally use available resources. …”
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Studies of biofilms and phenotypic characteristics of Candida fungi by E. M. Lenchenko, N. P. Sachivkina

“…The search and testing of multilevel algorithms for biofilm identification when exposed to chemotherapeutic and disinfectant drugs for blocking the synthesis or destruction of the intercellular matrix in the development of superficial, deep and systemic candidiasis of animals are relevant for developing and improving diagnostic and antiepidemic measures. …”
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Strategic priorities and challenges in research software funding: Results from an international survey [version 2; peer review: 2 approved, 1 approved with reservations, 1 not appr... by Daniel S. Katz, Eric A. Jensen

“…It spans a broad spectrum, including source code files, algorithms, scripts, computational workflows, and executables, all created for or during research. …”
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Detection of Jihadism in Social Networks Using Big Data Techniques Supported by Graphs and Fuzzy Clustering by Cristina Sánchez-Rebollo, Cristina Puente, Rafael Palacios, Claudia Piriz, Juan P. Fuentes, Javier Jarauta

“…Then, fuzzy clustering techniques were used to classify users in profiles, with the advantage over other classifications techniques of providing a probability for each profile instead of a binary categorization. Algorithms were tested using public database from Kaggle and other Twitter extraction techniques. …”
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Diagnostic efficacy of serological and epigenetic methods of screening diagnostics of colorectal cancer by O. I. Kit, D. V. Burtsev, A. Yu. Maksimov

“…Development of adequate screening and diagnostic algorithms on colorectal cancer detection.Material and methods. …”
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A new application for reading optical form with standard scanner by using image processing techniques by Ayşe Eldem, Fatih Taha Özcan

“…The form in which the designed template will be printed on A4 paper instead of a special optical form and the system in which standard scanners will be used instead of the optical scanner, uses the image processing algorithms in the OpenCV library in the evaluation process which is an intermediate library developed in C#. …”
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Revolutionizing Education with Artificial Intelligence (AI)? Challenges, and Implications for Open and Distance Learning (ODL) by Mohd Rushidi Mohd Amin, Ismaanzira Ismail, Vinesh Maran Sivakumaran

“…This transformative technology holds the potential to revolutionize education delivery through personalized learning algorithms, adaptive learning, and intelligent tutoring systems, tailoring educational experiences to individual students. …”
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Time-variant left ventricle models for intracardiac impedance analysis by Voss Daniel, Wemmer Clara, Leonhardt Steffen, Walter Marian

“…The models, thus, provide a useful basis for the development of LVV estimation algorithms.…”
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Review on the Application of Remote Sensing Data and Machine Learning to the Estimation of Anthropogenic Heat Emissions by Lingyun Feng, Danyang Ma, Min Xie, Mengzhu Xi

“…This paper reviews the main approaches for estimating anthropogenic heat emissions. The typical algorithms of the abovementioned three methods are introduced, and their advantages and limitations are also evaluated. …”
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Tuning into urban birdsong: enhancing nature connectedness with an AI-powered wearable by Zhuying Li, Si Cheng, Xiaoqing Sun, Xipei Ren, Yan Wang, Min-Ling Zhang

“…By utilizing machine learning algorithms, GoChirp recognizes bird sounds in the environment and provides haptic feedback that mimics the bird flapping, directing users’ attention to avian life and fostering a heightened awareness and connection to nature. …”
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DESIGNING AND EFFICIENCY EFFECT OF AUTOMATIC BALL-CLEANING SYSTEM FOR CONDENSER 180-KTsS-1 OF TURBINE Т-180/210-130-1 LMZ. Part 1 by Yu. A. Zenovich-Leshkevich-Ol’pinskiy, A. Yu. Naumov, A. Yu. Zenovich-Leshkevich-Ol’pinskaya

“…The authors consider developed algorithms of data processing and designed system control of the condenser cleaning that allowed realizing its operation in automatic mode.…”
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Distributed Compressed Hyperspectral Sensing Imaging Incorporated Spectral Unmixing and Learning by Hua Xiao, Zhongliang Wang, Xueying Cui, Liping Wang, Hongsheng Yang, Yingbiao Jia

“…Compressed hyperspectral imaging is a powerful technique for satellite-borne and airborne sensors that can effectively shift the complex computational burden from the resource-constrained encoding side to a presumably more capable base-station decoder. Reconstruction algorithms play a pivotal role in compressive imaging systems. …”
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Local and Deep Features Based Convolutional Neural Network Frameworks for Brain MRI Anomaly Detection by Sajad Einy, Hasan Saygin, Hemrah Hivehch, Yahya Dorostkar Navaei

“…Extensive experiments conducted based on brain tumor in MRI image public access databases and achieves significant results compared to state-of-the-art algorithms. In addition, we discussed the effectiveness and applicability of CNNs with a variety of different features and architectures for brain abnormalities such as Alzheimer’s.…”
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Measuring transducers for optical diagnostic system with multifunctional unitary photovoltaic converters by R. I. Vorobei, O. K. Gusev, A. I. Svistun, A. K. Tyavlovsky, K. L. Tyavlovsky, L. I. Shadurskaya

“…Traditional solution of this problem lies in the field of multi-sensory systems, complex optical schemes and complex signal processing algorithms. The paper aims at the development of new measuring transducers for optical diagnostic system on a basis of multifunctional unitary photovoltaic converters built on semiconductors with low-concentration deep dopants that form multiple energy levels for different charge states in the band gap. …”
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Prediction of High-ozone Events Using GAM, SMOTE, and Tail Dependence Approaches in Texas (2005–2019) by Benjamin Brown-Steiner, Xiong Zhou, Matthew J. Alvarado, Brook T. Russell

“…We also find that the tail dependence approach is capable of predicting extreme ozone events, but algorithmic stability and configuration complexity can make this approach difficult to operationalize on a broad scale and that the selection of the threshold needs to be carefully considered. …”
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Design of a 128‐channel transceiver hardware for medical ultrasound imaging systems by Jayaraj Kidav, Perumal M. Pillai, Deepak V, Sreejeesh S. G

“…Besides, compared to the commercial open ultrasound research scanners, the flexibility to interface FPGA‐based signal processing module helps to investigate the performance of hardware realisation of various ultrasound signal processing algorithms. Moreover, the work realises a single‐board transceiver solution for multichannel ultrasound system fulfilment.…”
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Comprehensive analysis of adverse events associated with onasemnogene abeparvovec (Zolgensma) in spinal muscular atrophy patients: insights from FAERS database by Wenwen Zhang, Yizhen Yin, Dan Yang, Mengyuan Liu, Caixia Ye, Ruiling Yan, Ruiman Li

“…A total of 1951 adverse event reports associated with onasemnogene abeparvovec (Zolgensma), containing 778 import important medical event (IME) signals, were identified from the FAERS database, and multiple disproportionate analysis algorithms were used to determine the significance of these adverse events. …”
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Bidirectional recurrent neural network approach for predicting cervical cancer recurrence and survival by S. Geeitha, K. P. Rama Prabha, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

“…This research uses following Random forest, Logistic regression, Gradient boosting and support vector machine algorithms are applied for classification. Random forest offers the maximum precision of these four techniques at 91.2%. …”
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Dual-Modal Approach for Ship Detection: Fusing Synthetic Aperture Radar and Optical Satellite Imagery by Mahmoud Ahmed, Naser El-Sheimy, Henry Leung

“…For SAR images, a customized Detection Transformer model, SAR-EDT, integrates advanced denoising algorithms and optimized pooling configurations. A fusion module evaluates the overlaps of detected bounding boxes based on intersection over union (IoU) metrics. …”
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