ESTIMATING THE DEMAND FOR RAILWAY FREIGHT TRANSPORTATION: A CASE STUDY IN KAZAKHSTAN by Madiyar SULTANBEK, Nazdana ADILOVA, Aleksander SŁADKOWSKI, Arnur KARIBAYEV

“…Qualitative methods rely on judgments and opinions, while quantitative methods utilize historical data or identify causal relationships between variables. …”
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Construction and Application Analysis of an Intelligent Distribution Network Identification System Based on Deep Neural Networks by Yu Ma

“…Therefore, deep neural networks were utilized to learn the mapping relationship between the measurement data and network topology, achieving topology structure discrimination under different working conditions. …”
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Unknown power quality disturbances classification based on transfer learning approach with imbalanced data considerations by Mohammad Mosayebi, Sasan Azad, Mohammad Taghi Ameli

“…The integration of various new energy sources and power electronic devices into the power grid system has led to an increase in power quality disturbances (PQDs), necessitating accurate and efficient monitoring. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…This paper introduces an innovative method for disease prediction utilizing deep learning, particularly focusing on an ensemblebased multi-disease prediction model. …”
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Country-Level Bibliometric Analysis of Edible Insect Research: Geographic Distribution and Contributions to Advancing Sustainable Alternatives for Food and Feed by Budi Wardiman, Asmuddin Natsir, Syahriani Syahrir, Ulva Dianasari, null Ardianto

“…Insects like black soldier fly larvae, crickets, and mealworms are being explored as efficient protein sources for animal feed. Addressing food safety, allergenicity, and cultural barriers remains critical. …”
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A novel and rapid method to purify the human complement opsonin C3b from human plasma by Jannik Sichau, Christoph Q. Schmidt

“…Therefore, we developed a rapid (three days) and efficient method that purifies C3b directly from blood sources, requiring fewer steps and reagents than previously published protocols. …”
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Performance assessment of sustainable evacuated tube heat pipe solar collector driven seawater desalination system by Manish Sonkar, B. Kiran Naik

“…The proposed system aims to be both economical and energy-efficient, leveraging low-grade solar energy for heating and utilizing natural water bodies as thermal reservoirs. …”
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Comparative analysis of geothermal binary ORC systems: performance and environmental considerations for CO2 andwater as geofluids by Nkemakolam Chinedu Izuwa, Stanley Toochukwu Ekwueme, Ndubuisi Uchechukwu Okereke, Onyebuchi Ivan Nwanwe, Nnaemeka Princewill Ohia

“…This study considers the process simulation of geothermal binary Organic Rankine Cycle (ORC) systems which utilizes CO2 and water as geofluids for electricity generation. …”
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Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

“…This study aims to develop an efficient KFE approach for generic videos. Existing methods include the Adaptive Key Frame Extraction Algorithm, which reduces redundancy while ensuring maximum content coverage; the Optimal Key Frame Extraction Algorithm, which utilizes a Genetic Algorithm (GA) to select key frames optimally; and the Rapid Key Frame Extraction Algorithm, which employs clustering techniques to identify typical key frames. …”
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Global publication trends on zakat management strategy: A bibliometric analysis by Azwar Azwar, Mohd Norzi bin Nasir

“…Educational institutions can also utilize these insights to design relevant curricula and training programmes. …”
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A novel approach to pseudorandom number generation using Hamiltonian conservative chaotic systems by Vinod Patidar, Tanu Singh

“…We provide a detailed description of the pre-analysis, followed by two methods that utilize the Poincaré sections of HCCS to extract pseudorandom sequences, along with their corresponding pseudo codes. …”
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AI-Powered Mobile App for Nuclear Cataract Detection by Alicja Anna Ignatowicz, Tomasz Marciniak, Elżbieta Marciniak

“…The proposed solution utilizes a multi-stage classification approach to analyze ocular images acquired with a slit lamp, sourced from the Nuclear Cataract Database for Biomedical and Machine Learning Applications. …”
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Economic Feasibility of On-Grid Photovoltaic Solar Power Plants at Private Universities in Indonesia by Rijal Asnawi, Antariksa, Sukir Maryanto and Aminudin Afandhi

“…Regular evaluations are necessary to ensure efficient operation and maximum benefits.…”
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User Preferences of Airbnb Accommodation Spatially in The Special Region of Yogyakarta, Indonesia by Azis Musthofa, Arief Wicaksono, Raden Rijanta

“…Airbnb's accommodation concept is highly efficient in utilizing unused assets, aligning with SDG Goal 11. …”
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Graph Neural Network based elastic deformation emulators for magmatic reservoirs of complex geometries by Taiyi A. Wang, Ian McBrearty, Paul Segall

“…This is partly due to deformation modeling being limited to one of two approaches: computationally efficient semi-analytical elastic solutions for simple magma reservoir geometries (point sources, spheroids, and cracks) and computationally expensive numerical solutions for complex 3D geometries. …”
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Strategic model for integrating biogas a framework for sustainable energy integration in agro-industries by Ahmad Nahwani, Soeprijanto Soeprijanto, Erwin Widodo

“…The novelty of this research lies in maximizing the utility of biogas plants by efficiently treating and reusing wastewater, creating a closed-loop, zero-waste process. …”
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THE IMPACT OF CORPORATE SOCIAL RESPONSIBILITY ON BANK PERFORMANCE IN NIGERIA by Ibrahim Yinka Agbeyinka

“…Larger firms generally enjoy higher returns on equity and are more efficient in utilizing their assets to generate returns. …”
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Forecasting Wind Farm Production in the Short, Medium, and Long Terms Using Various Machine Learning Algorithms by Gökhan Ekinci, Harun Kemal Ozturk

“…The results are particularly valuable for energy planners and policymakers seeking to maximize the efficiency of wind power plants and facilitate the integration of renewable energy sources into national grids more effectively.…”
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Soil organic matter composition affects ecosystem multifunctionality by mediating the composition of microbial communities in long-term restored meadows by Wenyin Wang, Sisi Bi, Fei Li, A. Allan Degen, Shanshan Li, Mei Huang, Binyu Luo, Tao Zhang, Shuai Qi, Tianyun Qi, Yanfu Bai, Peipei Liu, Zhanhuan Shang

“…Carbon metabolism did not increase in restored meadows, but the niche breadth of soil microorganisms and the utilization efficiency of small molecular carbon sources such as amino acids did increase. …”
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Techno-economic feasibility of green hydrogen production using hybrid solar-wind energy systems in Oman by Ahmed Al Makky, Hasan A. Kanjo, Mena Maurice Farag, Abdul-Kadir Hamid, Mousa Hussein, Tareq Salameh

“…The transition to renewable energy sources is critical for mitigating the environmental impacts of fossil fuels, and green hydrogen has emerged as a promising solution for sustainable energy storage and utilization. …”
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