Oversampling and undersampling for intrusion detection system in the supervisory control and data acquisition IEC 60870-5-104. by Syamsul Arifin, M. Agus, Deris Stiawan, Deris Stiawan, Bhakti Yudho Suprapto, Bhakti Yudho Suprapto, Susanto Susanto, Susanto Susanto, Salim, Tasmi, Idris, Mohd Yazid, Budiarto, Rahmat

“…A dataset created by running a supervisory control and data acquisition IEC 60870-5-104 (IEC 104) protocol on a testbed network is presented. …”
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What We Should Do Before the Social Bots Take Over: Online Privacy Protection and the Political Economy of Our Near Future by Graeff, Erhardt

“…Drones are being used for collecting military intelligence and bombing runs. U.S. states have passed laws to address self-driving cars on public roads (Marcus 2012). …”
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Creative Data Literacy: A Constructionist Approach to Teaching Information Visualization by D'Ignazio, Catherine, Bhargava, Rahul

“…Many view data visualization as a new technology, which runs the risks of replicating old approaches without acknowledging the unique affordances and domains that data visualization relies upon. …”
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Press ECCS to Doubt (Your Causal Graph) by Markakis, Markos, Zhang, Ziyu, Shahout, Rana, Gao, Trinity, Liu, Chunwei, Sabek, Ibrahim, Cafarella, Michael

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Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles by Golowich, Noah, Moitra, Ankur, Rohatgi, Dhruv

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0-1 Knapsack in Nearly Quadratic Time by Jin, Ce

“…On the upper bound side, currently the fastest algorithm runs in 𝑂e(𝑛 + 𝑤 12/5 max ) time (Chen, Lian, Mao, and Zhang 2023), improving the earlier 𝑂(𝑛 + 𝑤 3 max)-time algorithm by Polak, Rohwedder, and Węgrzycki (2021). …”
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Beating Brute Force for Compression Problems by Hirahara, Shuichi, Ilango, Rahul, Williams, R. Ryan

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Faster Feedback with AI? A Test Prioritization Study by Mattis, Toni, B?hme, Lukas, Krebs, Eva, Rinard, Martin C., Hirschfeld, Robert

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Optimising public transit using big data and machine learning by Lee, Kelvin

“…Our findings indicate that with careful planning and inventive methods, big data and machine learning can aid public transit operators in running their services more efficiently, thereby making them more attractive to passengers.…”
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Report for project A1017-101on hybrid solar PV thermal (PVT) system using a tracking solar trough I by Cheung, Wai Kin.

“…The findings on the 2 above mentioned studies appeared that at this level of convergence of sunlight, the heat effects is not pronounced when applied with a cooling system running at 0.448l/min & 0.938l/min respectively. …”
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Simulation and study on cooling plant efficiency in green data centres by Yeo, Keat Kee.

“…The availability of data centre is critical in keeping the basic infrastructure of many cities running. The critical nature of data centres often requires elevated design criteria to factor in the need for redundancy. …”
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ST-18AB Influence of rubber content of concrete on local impact damage by Sia, Grace Xing Rong

“…To address the large drop in the overall capacity of structures caused by fragment impacts during crater formation, a study is conducted which aims at investigating the effect of two different types of crumb rubber – running track rubber (SBR) and rubber tyre in concrete for the enhancement of concrete’s energy absorption abilities against dynamic impact. …”
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The training intensity distribution of marathon runners across performance levels by Muniz-Pumares, Daniel, Hunter, Ben, Meyler, Samuel, Maunder, Ed, Smyth, Barry

“…The amount of training time completed in Z2 and Z3 running remained relatively stable across performance levels, however, proportion of Z1 was higher in progressively faster groups. …”
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Many-sided sympathy and the science of religion in George Eliot, Vernon Lee, and Edna Lyall by Barnette, S

“…It considers the fiction of three women with very various backgrounds, intellectual pursuits, and writing styles – that of George Eliot (1819–1880), Vernon Lee (1856–1935), and Edna Lyall (1857–1903) – and sets their work side by side to discern a common thread running through their oeuvres: a pattern of fictional ‘many-sided’ male sympathetic figures arranged to balance broad tolerance with specific function and achieve a form of modern spirituality for the benefit of the reader and society at large. …”

Quantitative optical probing of plasma accelerators by Kasim, MF

“…It is demonstrated that by running it and letting it learn laser-driven plasma wakefield parameters for a number of days, the software can find optimal parameters in a laser-plasma system without explicitly being taught.…”

Parametric optimisation of microhardness on heat-treated electroless Ni-YSZ cermet coating by Baba, N. Bahiyah, Ghazali, A. S., Abdul Rahman, A. H., Sharif, S.

“…Parametric optimisation is conducted by the design of experiment full factorial 3x3 with 27 runs. Treating temperature, treating time and ceramic particle size parameters at 3-level are evaluated using statistical tool ANOVA in Minitab20. …”

Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated... by Muhammad Zikri, Japri, Mohd Shahrir, Mohd Sani, Mohd Fadzil Faisae, Ab Rashid, Muriban, Jackly, Galang Sandy, Prayogo

“…This research examines the predictive performance of two modeling techniques—Response Surface Methodology (RSM) and an Artificial Neural Network enhanced by a Genetic Algorithm (ANN-GA)—in relation to noise emission levels from a single-cylinder diesel engine running on palm oil methyl ester (POME). By employing different engine speeds and loads within the low to high range, noise emissions were recorded from multiple engine components to evaluate the performance of each predictive model. …”
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Maximizing dissimilarity in resting state detects heterogeneous subtypes in healthy population associated with high substance use and problems in antisocial personality by Kashyap, Rajan, Bhattacharjee, Sagarika, Yeo, Thomas B. T., Chen, Annabel Shen-Hsing

“…To address this, we employed rs-fMRI of 788 subjects from the human connectome project and estimated the common-COBE-component of each subject from the four rs-fMRI runs. Since the common-COBE-component is specific to a subject, the pattern was used to classify the subjects based on the similarity/dissimilarity of the features. …”
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LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand by Bostandoost, Roozbeh, Lechowicz, Adam, Hanafy, Walid A., Bashir, Noman, Shenoy, Prashant, Hajiesmaili, Mohammad

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Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS by Singh, Vikramank, Song, Zhao, Narayanaswamy, Balakrishnan (Murali), Vaidya, Kapil Eknath, Kraska, Tim

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