Assessing Institutional Performance Using Machine Learning Algorithms by zainabalwan anwer, Ahmad Abdalrada, Ihtiram Raza Khan

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Analyzing the Performance of Machine Learning Techniques in Disease Prediction by Khongdet Phasinam, Tamal Mondal, Dony Novaliendry, Cheng-Hong Yang, Chiranjit Dutta, Mohammad Shabaz

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Wideband and Ultrawideband Channel Models in Working Machine Environment by Attaphongse Taparugssanagorn, Matti Hämäläinen, Jari Iinatti

“…We present statistical models for wideband and ultrawideband (UWB) radio channels in a working machine cabin environment. Based on a set of measurements, it was found that such a small and confined space causes mostly diffuse multipath scattering rather than specular paths. …”
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Comparisons of Machine Learning Models for Prediction of Susceptibility to Diabetes by Jiao Yutian

“…This study compares the predictive performance of machine learning models such as Random Forest (RF), Logistic Regression (LR), and Support Vector Machine (SVM). …”
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Optimization of Solar Panel Deployment Using Machine Learning by Shoaib Kamal, P. S. Ramapraba, Avinash Kumar, Bikash Chandra Saha, M. Lakshminarayana, S. Sanal Kumar, Anitha Gopalan, Kuma Gowwomsa Erko

“…In this work, we proposed a mechanism for topology reconfiguration or optimization of photovoltaic (PV) arrays using machine learning-assisted techniques. The study takes into concern several topologies that includes series parallel topology, parallel topology, bridge link topology, honeycomb topology, and total cross tied. …”
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Dynamic Analysis and Fabrication of Single Screw Conveyor Machine by Sundarraj Moorthi, Meikandan Megaraj, Lenin Nagarajan, Alagar Karthick, Murugesan Bharani, Pravin P. Patil

“…The design and development of machine tools play a vital role in the current economic growth. …”
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Mechanisms of cage noise generation in machine tool bearings by Kazuho Takeshima, Keisuke Mutoh, Kenji Imanishi, Shunichi Oshima

“…Cage instability in ball bearings can lead to torque fluctuations and significant noise. In machine tool spindles, which require high rotational precision, outer ring-guided cages are often preferred over common ball-guided cages. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

Subjects: “…Machine Learning…”
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A Quantitative Analysis of Discourse Phenomena in Machine Translation by Carolina Scarton, Lucia Specia

Subjects: “…discourse in machine translation…”
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Machine learning Hubbard parameters with equivariant neural networks by Martin Uhrin, Austin Zadoks, Luca Binci, Nicola Marzari, Iurii Timrov

“…In practice, these are obtained either by semi-empirical tuning, requiring prior knowledge, or, more correctly, by using predictive but expensive first-principles calculations. Here, we present a machine learning model based on equivariant neural networks which uses atomic occupation matrices as descriptors, directly capturing the electronic structure, local chemical environment, and oxidation states of the system at hand. …”
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Design and Prototyping of a Pineapple Juice Extraction Machine. by Kyazze, Sulaiman

“…Basically, the essence of this report is to design and develop a machine from available resources capable of extracting at least 60 liters of pineapple juice per hour, specifically for local fames in Nyamukana village, Ntungamo district. …”
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Design and Pro-typing of an Electronic Coil Winding Machine. by Arinaitwe, Joel

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Design and Simulation of a Pedal Operated Hacksaw Machine. by Amanya, John Jackin

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Design of Solid Tire Power Screw Press Machine. by Wabwire, Ebenezer Emmanuel

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Design of a Sugar Cane Juice Extracting Machine. by Mubangizi, Elias

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Improving End-Point Position Control in Hydraulic Testing Machines with a Fuzzy Logic Based Approach by Serkan Anlak, Ekrem Düven

Subjects: “…hydraulic testing machines…”
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Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines by Kyoung A Viola Lee, Corey Tesdahl, Keith Zimmerman, Kimberly Jun, Sabrina Khalil, Alexander Shahin, Abdullah Abou-Samra, Ramesh Ayyala, Radouil Tzekov

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Development of an individual warp beam tension control system for warp assembling machines in direct warp preparation by Recep Eren, Sinan Kılıç, Ömer Atalay

“…Modern warp preparation machines employ feedback control systems controlling total or individual warp tension. …”
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Faire avec et sans les machines au quotidien : trajectoires post-soviétiques au Tadjikistan by Suzy Blondin

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An Investigation on Speed Control of a Spindle Cluster Driven by Hydraulic Motor: Application to Metal Cutting Machines by Ngoc Hai Tran, Cung Le, Anh Dung Ngo

“…In addition, we verify the effects of the hydraulic drive for main shaft, controlled by fuzzy PID, by comparison of the roughness of the machining work piece with respect to the one using the 3-phase motor drive.…”
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