Analysis of relief morphometry by global DEM in the southern part of the European territory of Russia by I.A. Ashatkin, K.A. Maltsev, G.F. Gainutdinova, B.M. Usmanov, A.M. Gafurov, A.F. Ganieva, T.S. Maltseva, E.R. Gizzatullina

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Developing an Intelligent Resume Screening Tool With AI‐Driven Analysis and Recommendation Features by K. L. Abhishek, M. Niranjanamurthy, Shonit Aric, Syed Immamul Ansarullah, Anurag Sinha, G. Tejani, Mohd Asif Shah

“…ABSTRACT Current resume screening relies on manual review, causing delays and errors in evaluating large volumes of resumes. Lack of automation and data extraction leads to inefficiencies and potential biases. …”
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Water quality evaluation in Liaoning Province large reservoirs: a new method integrating random forest-TOPSIS and Monte Carlo simulation by Chong Zhang, Mo Chen, Yi Wang

“…The study further confirmed the model’s robustness by outlining its optimal assessment accuracy within a 5% error margin under normal distribution.…”
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Advancements in fully homomorphic encryption over the integers: a comprehensive survey and analysis by Rohitkumar R. Upadhyay, Sahadeo Padhye

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Designing Randomized Experiments to Predict Unit-Specific Treatment Effects by Elizabeth Tipton, Michalis Mamakos

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Evaluating the Efficacy of AI Tools in Systematic Literature Reviews: A Comprehensive Analysis by Phumzile Dorcus Mogoale, Agnieta Beatrijs Pretorius, Refilwe Constance Mogase, Mmatshuene Anna Segooa

“…AI tools demonstrate improved effectiveness of literature searches, screening processes and  data extraction. Language and content presentation, incorrect citation and plagiarism, grammar and spelling errors may be ren when utilizing AI. …”
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The Elemental Analysis of Deep Earth Cuttings Based on Laser-Induced Breakdown Spectroscopy by GUO Qingbin, HU Wei, SHI Mingxin, ZHENG Pengfei, WU Di, AI Yong, CHEN Minxin, YU Jun

“…The experimental protocol employed a multi-point sampling and averaging strategy, with validation of detection accuracy conducted using X-ray fluorescence spectroscopy (XRF) and neutron capture logging data. The results demonstrate that the absolute prediction errors for major mineral elements (Si, Ca, Mg) do not exceed 3.20%, while the errors for Fe and Al elements remain below 0.31%. …”
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A fact based analysis of decision trees for improving reliability in cloud computing. by Muhammad Asim Shahid, Muhammad Mansoor Alam, Mazliham Mohd Su'ud

“…The results from secondary data analysis indicate that the Central Processing Unit CPU-Mem Multi classifier has the highest accuracy percentage and the least amount of fault prediction. …”
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The ABC of linear regression analysis: What every author and editor should know by Ksenija Bazdaric, Dina Sverko, Ivan Salaric, Anna Martinovic, Marko Lucijanic

“…Regression analysis is a widely used statistical technique to build a model from a set of data on two or more variables. …”
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Analysis of Just In Time Implementation as an Effort to Increase Production Efficiency in the Plywood Industry by Fitrotul Azizah, Ari Fahimatussyam Putra Nusantara

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A convolutional deep reinforcement learning architecture for an emerging stock market analysis by Anita Hadizadeh, Mohammad Jafar Tarokh, Majid Mirzaee Ghazani

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Learning-Based Testing Using SAL (Symbolic Analysis Laboratory) Model Checker by Anjum Ara Shah, Muddassar Azam Sindhu

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Simulation Analysis of Solar-air Dual Heat Source Heat Pump System by Wang Gang, Yang Yongqing, Yu Wan, Hu Tao, Han Xilian

“…The model validation and analysis are based on experimental data from four aspects: system power-generation efficiency, heat-collection efficiency, heating capacity, and heat pump COP. …”
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ANALYSIS OF THE INFLUENCE OF THE ATM STAFF PERSONNEL PROFESSIONAL QUALITEIS ON AIR TRAFFIC SAFETY by V. E. Borisov, V. V. Borsoeva, S. M. Stepanov, A. I. Stepnova

“…Careful examination of controller’s internship, retraining and unsupervised work processes is one of the effective accident-preventing methods allowing us to visualize and track the relationship between the identified errors and possible options for minimizing them. In order to make a detailed analysis of ATC performance, each civil aviation enterprise employs the means of objective control and a method of supervision containing a data set of the revealed errors made by the controller while working. …”
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Sweep frequency response analysis of three-phase induction motors using high frequency circuit model by Rizwanullah Khan, Mohd Fairouz Mohd Yousof, Salem Al-Ameri, Rahisham Abd-Rahman, Norhafiz Azis

“…Sweep frequency response analysis (SFRA) is a new method that is being proposed to assess the condition of windings in motors. …”
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Analysis of research trends on economic growth and environmental degradation: a bibliometric study by Manuel Humberto Vásquez Coronado, Carlos Javier Medina Valderrama, Alejandro Valencia-Arias, Humberto Iván Morales Huamán, Jackeline Valencia, Sebastián Cardona-Acevedo

“…The language is formal and free from grammatical errors, spelling mistakes, and punctuation errors. …”
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Estimation of Mango Fruit Production Using Image Analysis and Machine Learning Algorithms by Liliana Arcila-Diaz, Heber I. Mejia-Cabrera, Juan Arcila-Diaz

“…Accurate estimation of its production optimizes the planning and logistics of harvesting; traditionally, manual methods are inefficient and prone to errors. Currently, machine learning, by handling large volumes of data, emerges as an innovative solution to enhance the precision of mango production estimation. …”
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Soiling Forecasting for Parabolic Trough Collector Mirrors: Model Validation and Sensitivity Analysis by Areti Pappa, Johannes Christoph Sattler, Siddharth Dutta, Panayiotis Ktistis, Soteris A. Kalogirou, Orestis Spiros Alexopoulos, Ioannis Kioutsioukis

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Comparative analysis of lumped and semi-distributed hydrological models for an upland watershed in Ethiopia by Gebiaw T. Ayele, Bofu Yu

“…The model comparative analysis was supplemented by multi-model averaging using Sum of Squared Errors (SSEW) and Performance-Based Weights (PBW-NSE) to improve prediction reliability. …”
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Identification of stable reference genes in Edwardsiella ictaluri for accurate gene expression analysis. by Jingjun Lu, Hossam Abdelhamed, Nawar Al-Janabi, Nour Eissa, Mark Lawrence, Attila Karsi

“…Edwardsiella ictaluri is a Gram-negative bacterium causing enteric septicemia of catfish (ESC), leading to significant economic losses in the catfish farming industry. RT-PCR analysis is a powerful technique for quantifying gene expression, but normalization of expression data is critical to control experimental errors. …”
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