Low Complexity, Low Probability Patterns and Consequences for Algorithmic Probability Applications by Mohammad Alaskandarani, Kamaludin Dingle

“…Additionally, we examine some applications of algorithmic probability and discuss some implications of low complexity, low probability patterns for several research areas including simplicity in physics and biology, a priori probability predictions, Solomonoff induction and Occam’s razor, machine learning, and password guessing.…”
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Optimasi Algoritma Naive Bayes dengan Diskritisasi K-Means pada Diagnosis Penyakit Jantung by Nafa Fajriati, Budi Prasetiyo

“…Dataset yang digunakan yaitu Cleveland heart disease dataset dari UCI Machine Learning Repository. Untuk meningkatkan akurasi klasifikasi menggunakan algoritma Naive Bayes, atribut kontinu pada dataset diubah menjadi atribut diskrit dengan diskritisasi K-means. …”
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The challenges of consent in a decentralised metaverse: exploring ethically informed protections and standards to safeguard humans by Carl Hayden Smith, Judith Molka-Danielsen, Jean-Brunel Webb-Benjamin, Jazz Rasool

“…What were 2D webpages are becoming 3D worlds, collectively forming a Metaverse of virtual and mixed reality domains which should help to create new interactive learning, social and economic opportunities. In this paper we reflect on how the physical world will itself become a networked interface, making reality even more machine-readable, click-able, and searchable. …”
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Very Short-Term Blackout Prediction for Grid-Tied PV Systems Operating in Low Reliability Weak Electric Grids of Developing Countries by Benson H. Mbuya, Aleksandar Dimovski, Marco Merlo, Thomas Kivevele

“…A very short-term power outage prediction model framework based on a hybrid random forest (RF) algorithm was developed using open-source Python machine learning libraries and using a dataset generated from the pilot project’s experimental microgrid. …”
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A data-driven latent variable approach to validating the research domain criteria framework by S. K. L. Quah, B. Jo, C. Geniesse, L. Q. Uddin, J. A. Mumford, D. M. Barch, D. A. Fair, I. H. Gotlib, R. A. Poldrack, M. Saggar

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Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT): A preliminary, scenario-based cross-sectional study by İbrahim Sarbay, Göksu Bozdereli Berikol, İbrahim Ulaş Özturan

“…OpenAI’s ChatGPT is a supervised and empowered machine learning-based chatbot. The aim of this study was to determine the performance of ChatGPT in emergency medicine (EM) triage prediction. …”
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Ratio of Skeletal Muscle Mass to Visceral Fat Area Is a Useful Marker for Assessing Left Ventricular Diastolic Dysfunction among Koreans with Preserved Ejection Fraction: An Analys... by Jin Kyung Oh, Yuri Seo, Wonmook Hwang, Sami Lee, Yong-Hoon Yoon, Kyupil Kim, Hyun Woong Park, Jae-Hyung Roh, Jae-Hwan Lee, Minsu Kim

“…This study investigated the association between the ratio of skeletal muscle mass to visceral fat area (SVR) and left ventricular diastolic dysfunction (LVDD) in patients with preserved ejection fraction using random forest machine learning. Methods : In total, 1,070 participants with preserved left ventricular ejection fraction who underwent comprehensive health examinations, including transthoracic echocardiography and bioimpedance body composition analysis, were enrolled. …”
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Lightweight Cryptographic Algorithms for Guessing Attack Protection in Complex Internet of Things Applications by Mohammad Kamrul Hasan, Muhammad Shafiq, Shayla Islam, Bishwajeet Pandey, Yousef A. Baker El-Ebiary, Nazmus Shaker Nafi, R. Ciro Rodriguez, Doris Esenarro Vargas

“…For the experimental test, a set of plaintexts is used in the simulation—password-sized text and paragraph-sized text—that achieves target fair results compared to the existing algorithms in real-time deep learning networks for IoT applications.…”
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CompSafeNano project: NanoInformatics approaches for safe-by-design nanomaterials by Dimitrios Zouraris, Angelos Mavrogiorgis, Andreas Tsoumanis, Laura Aliisa Saarimäki, Giusy del Giudice, Antonio Federico, Angela Serra, Dario Greco, Ian Rouse, Julia Subbotina, Vladimir Lobaskin, Karolina Jagiello, Krzesimir Ciura, Beata Judzinska, Alicja Mikolajczyk, Anita Sosnowska, Tomasz Puzyn, Mary Gulumian, Victor Wepener, Diego S.T. Martinez, Romana Petry, Naouale El Yamani, Elise Rundén-Pran, Sivakumar Murugadoss, Sergey Shaposhnikov, Vasileios Minadakis, Periklis Tsiros, Harry Sarimveis, Eleonora Marta Longhin, Tanima SenGupta, Ann-Karin Hardie Olsen, Viera Skakalova, Peter Hutar, Maria Dusinska, Anastasios G. Papadiamantis, L. Cristiana Gheorghe, Katie Reilly, Emilie Brun, Sami Ullah, Sebastien Cambier, Tommaso Serchi, Kaido Tämm, Candida Lorusso, Francesco Dondero, Evangelos Melagrakis, Muhammad Moazam Fraz, Georgia Melagraki, Iseult Lynch, Antreas Afantitis

“…By building on established nanoinformatics frameworks, such as those developed in the H2020-funded projects NanoSolveIT and NanoCommons, CompSafeNano addresses critical challenges in nanosafety through development and integration of innovative methodologies, including advanced in vitro models, in silico approaches including machine learning (ML) and artificial intelligence (AI)-driven predictive models and 1st-principles computational modelling of NMs properties, interactions and effects on living systems. …”
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The Bioethics-CSR Divide by Caio Caesar Dib

“…Debora Diniz and Giselle Carino, “What Can Be Learned from the Global South on Abortion and How We Can Learn?…”
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