Detection of Water Surface Using Canny and Otsu Threshold Methods with Machine Learning Algorithms on Google Earth Engine: A Case Study of Lake Van by Pinar Karakus

“…The AWEI demonstrated superior performance compared to the NDWI and MNDWI across all three measures. …”
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Comparative Analysis of Machine Learning Algorithms for Antenna Alignments by Mohammad Al Bataineh, Dana I. Abu Abdoun, Mahmoud Al Ahmad

“…In the rapidly evolving field of radio frequency (RF) engineering, precise antenna alignment remains a critical challenge, directly influencing communication performance and reliability. …”
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Turboshaft gas turbine engine thermodynamics calculation method based on blade machine blade to blade description.Part III. Turbine parameters calculation by Lyudmila Boyko, Nataliya Pizhankova

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ANN and Multilayer-ELM based prediction of combustion, performance and emission characteristics of a diesel engine fuelled with Diesel-DTBP blends by Hiren Dave, Vinay Vakharia, Hitesh Panchal, Md Irfanul Haque Siddiqui, Dan Dobrotă

“…The presented work investigates diesel engine combustion, performance and emission characteristics using ND blended with CI. …”
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Advancing Engineering Solutions with Protozoa-Based Differential Evolution: A Hybrid Optimization Approach by Hussam N. Fakhouri, Faten Hamad, Abdelraouf Ishtaiwi, Amjad Hudaib, Niveen Halalsheh, Sandi N. Fakhouri

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Integrating Microgrids into Engineering Education: Modeling and Analysis for Voltage Stability in Modern Power Systems by Farheen Bano, Ali Rizwan, Suhail H. Serbaya, Faraz Hasan, Christos-Spyridon Karavas, Georgios Fotis

“…The research focuses on incorporating microgrids into engineering curricula for achieving voltage stability in today’s power systems. …”
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Prediction of performance and emission features of diesel engine using alumina nanoparticles with neem oil biodiesel based on advanced ML algorithms by M. S. Aswathanrayan, N. Santhosh, Srikanth Holalu Venkataramana, Kurugundla Sunil Kumar, Sarfaraz Kamangar, Amir Ibrahim Ali Arabi, Sameer Algburi, Osamah J. Al-sareji, A. Bhowmik

“…The findings highlight the potential of neem oil biodiesel blends enhanced with alumina nanoparticles to achieve a sustainable balance between improved engine performance and reduced emissions in CI engines.…”
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Performance of Sentiment Classification on Tweets of Clothing Brands by Muhammad Shafiq Jalani, Hu Ng, Timothy Tzen Vun Yap, Vik Tor Goh

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Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment by Ashutosh Sarangi, Sailesh Kumar Raula, Sohamdev Ghoshal, Swadhin Kumar, Chinta Sai Kumar, Neelamadhab Padhy

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Integration of Sentinel-1 and Sentinel-2 for temporal identification of aquacultural ponds by Vaishnavi Joshi, Dipanwita Haldar, Subhadip Dey

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Fusion vs. Isolation: Evaluating the Performance of Multi-Sensor Integration for Meat Spoilage Prediction by Samuel Heffer, Maria Anastasiadi, George-John Nychas, Fady Mohareb

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Machine Learning-Driven Prediction of Vitamin D Deficiency Severity with Hybrid Optimization by Usharani Bhimavarapu, Gopi Battineni, Nalini Chintalapudi

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A Comprehensive Review of Ergonomics and Human Factors Engineering for Enhancing Comfort and Efficiency in Transport Systems by Petruța Blaga, Bianca-Mihaela Cășeriu, Bogdan Bucur, Cristina Veres

“…This approach aims to promote efficiency, comfort, and performance in operational environments. The results confirm the research hypotheses, demonstrating that ergonomic principles and human factors engineering (HFE) can significantly enhance the comfort, safety, and performance of vehicle users in both civilian and military contexts.…”
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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches by Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md. Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md. Mafiul Hasan Matin, M. Ameer Ali

“…In the second experiment, the Decision Tree achieved the highest accuracy of 96% in the original and engineered feature spaces and was 149.33 times faster in the engineered feature space. …”
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Analyzing Momentum Shifts in Tennis: A Machine-Learning Approach to Predicting Match Outcomes by Yuean Xia, Changfeng Li, Tanran Zhang

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Flood risk mapping and performance efficiency evaluation of machine learning algorithms: Best practice in northern Iran by M. Shirmohammadi, M. Shirmohammadi, S. Pirasteh, W. Li, D. Mafi-Gholami

“…However, challenges remain in optimizing the accuracy and reliability of machine learning (ML) algorithms for flood susceptibility assessment. …”
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Classification of SERS spectra for agrochemical detection using a neural network with engineered features by Mateo Frausto-Avila, Monserrat Ochoa-Elias, Jose Pablo Manriquez-Amavizca, María del Carmen González-López, Gonzalo Ramírez-García, Mario Alan Quiroz-Juárez

“…This design ensures computational efficiency by using only dense layers for matrix-vector multiplications. Notably, we performed feature engineering to optimize the input data; specifically, we derived 20 key features from transformation functions applied to the SERS spectra. …”
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Comparative analysis dust accumulation impact on PV performance using artificial neural network and machine learning algorithms by Ashutosh Shukla, Rupendra Kumar Pachauri, Athar Hussain, Ahmed Ali, Baseem Khan

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Application of Modern Machine Diagnostic Systems to Improve Safety in the Underground Mining Process by Trzop Konrad, Kuric Ivan, Brodny Jarosław, Tutak Magdalena

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Managing Timing Uncertainties in Worst-Case Design of Machine Learning Applications by Robin Hapka, Rolf Ernst

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