Research on forming mechanism of digitalized frozen sand mold green casting by Haoqin Yang, Zhongde Shan, Dandan Yan, Jianpei Shi, Xiao Liang, Shijie Dong, Jian Huang, Lei Luo, Haoming Shi, Runmou Wu

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MMLT: Efficient object tracking through machine learning-based meta-learning by Bibek Das, Asfak Ali, Suvojit Acharjee, Jaroslav Frnda, Sheli Sinha Chaudhuri

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Optimizing Biogas Power Plants through Machine-Learning-Aided Rotor Configuration by Andreas Heller, Héctor Pomares, Peter Glösekötter

“…In this research, we present a novel approach that leverages machine learning techniques to optimize the performance of biogas power plants through the strategic placement and configuration of rotors within the fermentation vessel. …”
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DEVELOPMENT AND EVALUATION OF RAISED BED MACHINE TO SUIT FABA BEAN PLANTING by Tarek FOUDA, Abeer ABDELSALAM, Atef SWILAM, Mohamed El DIDAMONY

“…Linear regression analysis were performed to predict the operating parameters for the raised bed machine the machine at different forward speeds during different planting distances.…”
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Modeling women cyclists' perceived security: A comparison of machine learning techniques by Peyman Noorbakhsh, Navid Khademi, Phromphat Thansirichaisree

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Fault diagnosis of agricultural sprinkler irrigation machinery equipment based on machine vision by Wu Xinping, He Rongnian, Chen Mengyu

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Speech Delay Assistive Device for Speech-to-Text Transcription Based on Machine Learning by Maria Kristina C. Rodriguez, Gheciel Mayce M. Santos, Jennifer C. Dela Cruz, Jmi C. Dela Cruz

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Caffeine Content Prediction in Coffee Beans Using Hyperspectral Reflectance and Machine Learning by Dthenifer Cordeiro Santana, Rafael Felipe Ratke, Fabio Luiz Zanatta, Cid Naudi Silva Campos, Ana Carina da Silva Cândido Seron, Larissa Pereira Ribeiro Teodoro, Natielly Pereira da Silva, Gabriela Souza Oliveira, Regimar Garcia dos Santos, Rita de Cássia Félix Alvarez, Carlos Antonio da Silva Junior, Matildes Blanco, Paulo Eduardo Teodoro

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Leveraging machine learning to predict residential location choice: A comparative analysis by Vahid Noferesti, Hamid Mirzahossein

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Intraocular Pressure Monitoring System for Glaucoma Patients Using IoT and Machine Learning by Sivamani Chinnaswamy, Vigneshwari Natarajan, Selvi Samiappan, Revathy Gurumurthy

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A hybrid machine learning and ied-based fault detection scheme for microgrids by Hamid Radmanesh, Abolfazl Hadadi

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Harvester Maintenance Prediction Tool: Machine Learning Model Based on Mechanical Features by Rodrigo Oliveira Almeida, Richardson Barbosa Gomes da Silva, Danilo Simões

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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Hussain Sumaira, Zada Islam, Alazab Moutaz, Alfraihi Hessa, Aldhayan Manal, Ullah Inam, Khan Mohammad Asmat Ullah

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Investigation of pneumatic transport system of seeding machine "AGRAER-85OH" by V. E. Saitov, R. G. Gataullin

“…In accordance with the JSC «Malmyzhsky factory for repair of diesel engines» (Russia, Kirov Region) wide-seeding machine «AGRAER-850H» was designed and manufactured. …”
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A Comparative Study of Machine Learning Models for Accurate E-Waste Prediction by Mohammed Algafri, Mohammed Sayad, Mohammad A.M. Abdel-Aal, Ahmed M. Attia

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Research progress in additive manufacturing for repair technology of single crystal superalloy turbine rotor blades for aero-engine by QIN Renyao, QU Zhiqi, CHEN Bingqing, SUN Bingbing, ZHANG Xuejun, ZHANG Guohui

“…Single crystal superalloy turbine rotor blade is one of the core hot-end components of the aero-engine， which has a decisive role in the thrust and performance of the aero-engine. …”
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Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil by Rafael Felippe Ratke, Paulo Roberto Nunes Viana, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana, Carlos Eduardo da Silva Santos, Alan Mario Zuffo, Jorge González Aguilera

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Detection of Coffee Leaf Miner Using RGB Aerial Imagery and Machine Learning by Emerson Ferreira Vilela, Cileimar Aparecida da Silva, Jéssica Mayara Coffler Botti, Elem Fialho Martins, Charles Cardoso Santana, Diego Bedin Marin, Agnaldo Roberto de Jesus Freitas, Carolina Jaramillo-Giraldo, Iza Paula de Carvalho Lopes, Lucas de Paula Corrêdo, Daniel Marçal de Queiroz, Giuseppe Rossi, Gianluca Bambi, Leonardo Conti, Madelaine Venzon

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Reliability analysis in curriculum development for social science education driven by machine learning by Rui Mao

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Combining SNNs with filtering for efficient neural decoding in implantable brain-machine interfaces by Zhou Biyan, Pao-Sheng Vincent Sun, Arindam Basu

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