Integrating Ambient In-Home Sensor Data and Electronic Health Record Data for the Prediction of Outcomes in Amyotrophic Lateral Sclerosis: Protocol for an Exploratory Feasibility S... by William E Janes, Noah Marchal, Xing Song, Mihail Popescu, Abu Saleh Mohammad Mosa, Juliana H Earwood, Vovanti Jones, Marjorie Skubic

“…ResultsAs of this writing (fall 2024), machine learning algorithms are currently in development to predict those health outcomes from sensor-detected changes in health status. …”
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Artificial intelligence in teaching programming to students of pedagogical university by I. A. Yashina

“…In particular, the use of artificial intelligence helps the student in writing and debugging code, simplifies the process of explaining to the instructor the ways of algorithm development and program compilation. …”
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Algoritma Jaro-Winkler Distance: Fitur Autocorrect dan Spelling Suggestion pada Penulisan Naskah Bahasa Indonesia di BMS TV by Agung Prasetyo, Wiga Maulana Baihaqi, Iqbaluddin Syam Had

“…The development software method that is used is Extreme Programming dan Jaro-Winkler Distance algorithm. Jaro-Winkler is an algorithm that is applied to calculate the distance of proximity between two texts. …”
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Unbalance terminal control method at the reception, storage and delivery of petroleum products to the fuel depots of JSC “Russian Railways” by A. G. Godnev, E. P. Loktev, S. N. Naumenko

“…In practice, the method can be implemented with control algorithm of terminal control, provided that the relative error of the incoming of the actual mass of oil product to the tank is within the range stated in regulations. …”
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Direct nanopatterning of complex 3D surfaces and self-aligned superlattices via molecular-beam holographic lithography by Shuangshuang Zeng, Tian Tian, Jiwoo Oh, Zhan-Hong Lin, Chih-Jen Shih

“…Other approaches of direct material writing often compromise pattern complexity and overlay accuracy. …”
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Multi-Head Attention Based Bidirectional LSTM for Spelling Error Detection in the Indonesian Language by Yanfi Yanfi, Haryono Soeparno, Reina Setiawan, Widodo Budiharto

“…This study aims to address this gap by presenting a novel algorithm to improve spelling mistake detection within the Indonesian language context. …”
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Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network by Hans Juwiantho, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo

“…The results of experiments that have been carried out with the Deep Convolutional Neural Network algorithm have the best accuracy value of 76.40%. …”
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Sentiment Analysis on Google Reviews Using Naïve Bayes, K-Nearest Neighbors, and Logistic Regression to Improve Novotel Services by Yonathan Arya Dhamma, Simon Prananta Barus

“…From the training results, the model produced by the Logistic Regression algorithm was the most accurate, namely 94.54% with unigrams (n = 1). …”
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Bytecode-based approach for Ethereum smart contract classification by Dan LIN, Kaixin LIN, Jiajing WU, Zibin ZHENG

“…In recent years, blockchain technology has been widely used and concerned in many fields, including finance, medical care and government affairs.However, due to the immutability of smart contracts and the particularity of the operating environment, various security issues occur frequently.On the one hand, the code security problems of contract developers when writing contracts, on the other hand, there are many high-risk smart contracts in Ethereum, and ordinary users are easily attracted by the high returns provided by high-risk contracts, but they have no way to know the risks of the contracts.However, the research on smart contract security mainly focuses on code security, and there is relatively little research on the identification of contract functions.If the smart contract function can be accurately classified, it will help people better understand the behavior of smart contracts, while ensuring the ecological security of smart contracts and reducing or recovering user losses.Existing smart contract classification methods often rely on the analysis of the source code of smart contracts, but contracts released on Ethereum only mandate the deployment of bytecode, and only a very small number of contracts publish their source code.Therefore, an Ethereum smart contract classification method based on bytecode was proposed.Collect the Ethereum smart contract bytecode and the corresponding category label, and then extract the opcode frequency characteristics and control flow graph characteristics.The characteristic importance is analyzed experimentally to obtain the appropriate graph vector dimension and optimal classification model, and finally the multi-classification task of smart contract in five categories of exchange, finance, gambling, game and high risk is experimentally verified, and the F1 score of the XGBoost classifier reaches 0.913 8.Experimental results show that the algorithm can better complete the classification task of Ethereum smart contracts, and can be applied to the prediction of smart contract categories in reality.…”
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Detection of Hijaiyah Letters Handwritten in Early Childhood Using Yolov8 by Hidayatul Mustagfiroh, Aviv Yuniar Rahman, Rangga Pahlevi Putra

“…This study investigates the effectiveness of the YOLOv8 (You Only Look Once version 8) algorithm in detecting handwritten Hijaiyah letters among early childhood learners. …”
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Inclusion of Unicode Standard seamless characters to expand Arabic text steganography for secure individual uses by Norah Alanazi, Esam Khan, Adnan Gutub

“…This technique also has a higher security ratio than the other methods in this study, with the exception of Method 5, and is robust against electronic text modifications such as copying, pasting, and text formatting. Moreover, our algorithm can be widely adopted in related languages, such as Urdu and Farsi, due to its utilization of Unicode characters, which is the encoding standard used in most of the world’s writing systems.…”
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An adaptive assessment: Online summary with automated feedback as a self-assessment tool in MOOCs environments by Saida Ulfa, Ence Surahman, Agus Wedi, Izzul Fatawi, Rex Bringula

“…However, grading students’ summary writings is challenging due to the time-consuming process of evaluating students’ writing assignments. …”
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Experience evaluations for human–computer co-creative processes – planning and conducting an evaluation in practice by Anna Kantosalo, Sirpa Riihiaho

“…In human–computer co-creativity, humans and creative computational algorithms create together. Too often, only the creative algorithms and their outcomes are evaluated when studying these co-creative processes, leaving the human participants to little attention. …”
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Design and Experiment of a Single-Disk Silage Corn Harvester by Wenxuan Wang, Wei Sun, Hui Li, Xiaokang Li, Yongwei Yuan

“…In addition, the main program was optimized by writing the program of the SMPSO algorithm. The optimal combination of working parameters was determined: the working speed was 1.00 m/s, the cutter rotation speed was 1085.89 rpm, and the drum rotation speed was 30 m/s. …”
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Pattern of adverse drug reactions to anticancer drugs: A quantitative and qualitative analysis by Shruti Singh, D C Dhasmana, Manisha Bisht, Prashant Kumar Singh

“…According to the Naranjo's algorithm, 100% ADRs fell in probable category. About 94.80% reactions were found to be predictable. …”
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Digitized Cursive Handwriting for Determining FMS in Early School-Age Children by Nurul Zainal Fanani, Ika Widiastuti, Khamid, Laszlo T. Koczy

“…This study aimed to classify children’s FMS based on their cursive writing abilities using a digitizer to capture data. …”
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Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges by Alem Febri Sonni, Hasdiyanto Hafied, Irwanto Irwanto, Rido Latuheru

“…The most prominent ethical challenges include algorithm transparency (82% of studies), data privacy (76%), and accountability relative to AI content (71%). …”
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Development and Prospects of National Intelligent System for Testing General Language Competencies Deployed Through Neural Network Solutions by E. M. Bazanova, A. V. Gorizontova, N. N. Gribova, T. M. Chikake, A. V. Samosyuk

“…The process of ISTOK development implied, apart from writing test items, putting together databases of writing and speaking assignments marked by professional assessors and assessment criteria for productive skills, as well as algorithms to identify various types of mistakes with the help of artificial intelligence. …”
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A multimodal approach for ADHD with coexisting ASD detection for children by Jungpil Shin, Sota Konnai, Md. Maniruzzaman, Yoichi Tomioka, Yong Seok Hwang, Akiko Megumi, Akira Yasumura

“…The potentiality of these features was evaluated using Sequential Forward Floating Selection (SFFS)-based algorithm and support vector machine (SVM) was employed to evaluate the performance of ZL and PL tasks. …”
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Pharmaceutical care as the ultimate goal of the мodern pharmacist formation by O. V. Kraydashenko, О. O. Svintozelskyi, A. V. Sarzhevska, T. O. Samura, M. V. Shevchenko

“…Students are expected to acquire skills of choosing the optimal OTC medicine for a concrete patient and use to practice the algorithm of the distribution patients who need and do not need doctor consultation. …”
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