AI-Enabled Smart Irrigation for Climate-Resilient Agriculture by Khan Roohee, Sharma Pooja

“…The system tries to achieve reduction in waste, optimized water usages and enhancement of crop yield by assimilating advanced machine learning algorithms with real time sensor data. Thus, proposing the solution of using predictive analysis for the prediction of the weather pattern, soil moisture level and crop water need, which bases its adaptive irrigation strategies upon the changing climatic conditions. …”
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Turbofan engine health status prediction with artificial neural network by Slawomir Szrama, Tomasz Lodygowski

“…What is the greatest scientific contribution of the article is the fact that there are no scientific studies available, which are based on the engine real-life operating data. …”
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Preparing teachers of Early Childhood Education to teach a foreign language: the PEPELINO portfolio in practice by Joanna Rokita-Jaśkow, Werona Król-Gierat

“…It describes a quantitative study of early education in-service teachers who attended a 3-semester preparation course for language teaching. The data analysis revealed that ‘supporting the linguistic development of children with other first languages than Polish’ gained the least support among the respondents, despite a significant course module devoted to this issue. …”
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Indetermsoft-Set-Based D* Extra Lite Framework for Resource Provisioning in Cloud Computing by Bhargavi Krishnamurthy, Sajjan G. Shiva

“…The experimental results show that the performance of the proposed algorithm is found to be promising in performance metrics such as power consumption, resource utilization, total execution time, and learning rate. The expected value analysis also validated the experimental results obtained.…”
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Comparison of ResNet-50, EfficientNet-B1, and VGG-16 Algorithms for Cataract Eye Image Classification by Ilham Santoso, Ayub Michaelangelo Manurung, Egia Rosi Subhiyakto

“…This study evaluates the capabilities of three widely-used deep learning models—ResNet-50, EfficientNet-B1, and VGG-16—in classifying visual data. …”
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Overview on Intrusion Detection Systems for Computers Networking Security by Lorenzo Diana, Pierpaolo Dini, Davide Paolini

“…The rapid growth of digital communications and extensive data exchange have made computer networks integral to organizational operations. …”
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Not just another quiet student: reducing participation imbalance through robot moderation by Ali Asadi, Kerstin Fischer

“…As participants engaged in completing a language learning task, the moderator implemented verbal and nonverbal interventions.ResultsData analysis shows that while nonverbal interventions mostly failed, verbal interventions had a success rate of 88.24% in encouraging participants to start speaking. …”
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The Burgeoning Importance of Nanomotion Sensors in Microbiology and Biology by Marco Girasole, Giovanni Longo

“…Key methodologies include Atomic Force Microscopy-based sensors, optical nanomotion detection, graphene drum sensors, and optical fiber-based sensors, each offering unique advantages in sensitivity, cost, and applicability. The analysis of complex nanomotion data is increasingly supported by advanced modeling and the integration of artificial intelligence and machine learning, enhancing pattern recognition and automation. …”
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Teachers' Reflective Thinking on Their Professional Experiences by Cennet Tandırcı, Serkan Ünsal, Reyhan Ağçam

“…Participants of the study were a group of experienced teachers teaching various subjects at Turkish state schools who were selected via the purposive sampling. The research data were gathered with a semi-structured interview form developed by the researchers following an extensive review of literature, and administered to content analysis. …”
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Rework in civil construction projects at design phase: Influencing factors and suggested solutions by Van Tuan Cao, My Pham Truong, Ngoc Loi Dang

“…Then, the PCA (principal component analysis) was applied to the collected data to reveal the most influencing factors on rework causes. …”
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BIOLOGICAL DIVERSITY AND SYSTEM OF EDUCATION FOR SUSTAINABLE DEVELOPMENT ILLUSTRATED BY THE EXAMPLE OF EDUCATIONAL INSTITUTIONS OF KIZILYURT CITY by Zh. M.-S. Aliyeva, N. O. Guseynova, D. I. Kadieva, R. Kh. Gayrabekova

“…The aim is to study the impact of environmental education on the quality of learning biology and ecology by the example of secondary schools in Kizilyurt city, Republic of Dagestan.Materials and methods. …”
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Rework in civil construction projects at design phase: Influencing factors and suggested solutions by Van Tuan Cao, My Pham Truong, Ngoc Loi Dang

“…Then, the PCA (principal component analysis) was applied to the collected data to reveal the most influencing factors on rework causes. …”
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Psychoanalytic conceptual framework: a critical review of creativity in modeling inquiry training by Zaenal Sukawi, Ahmad Khoiri, Sri Haryanto, Denok Sunarsi

“…Conceptual method of psychoanalytic approach as a determination of the implementation of the inquiry training model through a systematic review. Based on data analysis that: 1) student creativity can be explored through a psychoanalytic approach that expresses new ideas with students' intellectual freedom in the form of inquiry and problem-solving skills in their own way; 2) Creativity is based on Guilford's creative person who is built by conscious and unconscious efforts on neuroscience which gives rise to motivation, energy, ego to do creative ideas; 3) Different ways of creative students become important factors in determining discovery learning models. creativity is part of a personality that is encouraged to be creative if indeed they cannot meet sexual needs directly. …”
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Aircraft Position Estimation Using Deep Convolutional Neural Networks for Low SNR (Signal-to-Noise Ratio) Values by Przemyslaw Mazurek, Wojciech Chlewicki

“…The proposed solution uses the processed image values for the tracking process with the raw data using the Track-Before-Detect method.…”
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The instrumentalization of self-determined participation and apprenticeship-related interest — or: how organizations can best get rid of their apprentices by Tobias Kärner

“…Two key theses are examined: the instrumentalization thesis posits that promoting self-determination and intrinsic motivation are merely means to achieve organizational ends, while the self-undermining thesis suggests that apprentices may undermine their own autonomy and intrinsic motivation by engaging in practices such as working unpaid overtime, which ultimately hinders organizational efficiency. The empirical analysis is based on data from a nationwide study conducted in Germany involving over 700 apprentices. …”
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IMPLEMENTATION OF VIBRATION AND WAVES MODULE BASED ON STEM EDUCATION TO IMPROVE HIGHER-ORDER THINKING ABILITY VIEWED FROM STUDENT'S SELF CONFIDENCE by Nurhayati Nurhayati, Wahyudi Wahyudi, Dwi Fajar Saputri

“…The instrument used to measure students' high-order thinking skills in the form of HOTS test questions in the form of essays totaling 10 questions that have high valid and reliable criteria and a closed questionnaire with a Likert scale to measure student self-confidence. The research data were analyzed statistically which included the N-Gain test, analysis prerequisite test and hypothesis testing. …”
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The Development of Interactive Audio-Visual-Based Media Using VideoScribe to Reduce Misconceptions Electrical Potential and ECG Material by Rizky Agassy Sihombing, Muslim Muslim, Taufik Rahman

“…The fourth indicator was also classified as "good," with a percentage of 79.40%. Based on the data analysis, the developed media is deemed feasible and can be utilized effectively in science learning.…”
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Power grid inspection based on multimodal foundation models by Jingbo Hao, Yang Tao

“…RESULTS: These techniques can significantly reduce the time and cost of inspection by automating the analysis of large amounts of sensor data. They can also improve the accuracy and reliability of inspection by leveraging the understanding and reasoning abilities of LLMs. …”
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A Convolutional Neural Network-Based Stress Prediction Method for Airfoil Structures by Wendi Jia, Quanlong Chen

“…However, conventional stress calculation methods often encounter significant computational costs and lengthy analysis times when addressing highly nonlinear and complex geometries. …”
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Metabolic modelling as a powerful tool to identify critical components of Pneumocystis growth medium. by Olga A Nev, Elena Zamaraeva, Romain De Oliveira, Ilia Ryzhkov, Lucian Duvenage, Wassim Abou-Jaoudé, Djomangan Adama Ouattara, Jennifer Claire Hoving, Ivana Gudelj, Alistair J P Brown

“…In addition, we employ relaxed Flux Balance Analysis and Reinforcement Learning approaches to make predictions regarding metabolic fluxes and to identify critical components of the Pneumocystis growth medium. …”
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