Energy efficiency analysis: A household digital transformation by Gunnar Lima, Andreas Nascimento, Marcelo P. Oliveira, Fagner L. G. Dias

“…At its core, this work consists of continuous data collection of single devices and equipment in regard to status, energy consumption, and other relevant data of a typical household. …”
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Synergy of machine learning and the Einstein Choquet integral with LOPCOW and fuzzy measures for sustainable solid waste management by Yasir Yasin, Muhammad Riaz, Kholood Alsager

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Square-root lasso under correlated regressors: Tight statistical analysis with a wireless communications application by Ayed M. Alrashdi, Masad A. Alrasheedi

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Cities as innovation poles in the digital transition. The Italian case by Giuseppe Borruso, Ginevra Balletto

“…This research combined an analysis of innovative cities in Italy, based on the innovation index (ICity Rank) with demographic data, considering metropolitan cities and their functional urban areas (FUAs), along with a set of mid-sized cities identified as 'innovative' and dynamic. …”
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An efficient eigenvector-based crossover for differential evolution: Simplifying with rank-one updates by Tae Jong Choi

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Tissue-specific bioimpedance changes induced by graphene oxide ex vivo: a step toward contrast media development by Svetlana Kashina, Andrea Monserrat del Rayo Cervantes-Guerrero, Francisco Miguel Vargas-Luna, Gonzalo Paez, Jose Marco Balleza-Ordaz

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Machine learning applications in flood forecasting and predictions, challenges, and way-out in the perspective of changing environment by Vijendra Kumar, Kul Vaibhav Sharma, Nikunj K. Mangukiya, Deepak Kumar Tiwari, Preeti Vijay Ramkar, Upaka Rathnayake

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Effect of convective and vacuum drying on some physicochemical and phytochemical characteristics of peppermint leaves by Ramadan ElGamal, Omar A. Hamed, Ahmed M. Rayan, Chuanping Liu, Sameh Kishk, Salim Al-Rejaie, Gamal ElMasry

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Synthetic Dataset for Analyzing Geometry-Dependent Optical Properties of All-Pass Micro-Ring Resonators by Sebastian Valencia-Garzon, Esteban Gonzalez-Valencia, Nelson Gómez-Cardona, Andres Calvo-Salcedo, J. A. Jaramillo-Villegas, Jorge Montoya-Cardona, Erick Reyes-Vera

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Long-Term Outdoor Cultivation of <i>Nannochloropsis</i> in California, Hawaii, and New Mexico by Alina A. Corcoran, Marcela Saracco Alvarez, Taryn Cornell, Isidora Echenique-Subiabre, Julia Gerber, Stephanie Getto, Ahlem Jebali, Heather Martinez, Jakob O. Nalley, Charles J. O’Kelly, Aidan Ryan, Jonathan B. Shurin, Shawn R. Starkenburg

“…The resulting dataset includes environmental and biological parameters from these cultivation campaigns, captured in a single CSV file. This dataset aims to serve a wide range of end users, from biologists to algal farmers, addressing the scarcity of publicly available data on algae cultivation. …”
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A hybrid CNN-LSTM model with adaptive instance normalization for one shot singing voice conversion by Assila Yousuf, David Solomon George

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Dataset of SCAPS-1D simulated halide perovskite solar cells with SHAP and machine learning-based PCE optimizationZenodo by Ivan E. Novoselov, Alexander M. Gvozdev, Andrey A. Smirnov, Ivan S. Zhidkov

“…Its comprehensive organization makes it suitable for applications including photovoltaic device optimization, evaluation of simulation-based predictive approaches, and development of advanced data-driven models. Publicly hosted on Zenodo, this dataset provides an accessible resource for researchers and practitioners aiming to explore and enhance perovskite solar cell configurations through computational analysis and machine learning techniques.…”
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The Possibility of Applying the Tools of Lean Manufacturing: A Field Study in Mosul Dairy Factory by Moatasem H. M. Salih

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Supervised autoencoder MLP for financial time series forecasting by Bartosz Bieganowski, Robert Ślepaczuk

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Distributed Acoustic Sensing of Sounds in Audible Spectrum in Realistic Optical Cable Infrastructure by Petr Dejdar, Ondrej Mokry, Petr Munster, Tomas Horvath, Jiri Schimmel

“…Additionally, this resource facilitates the validation of de-noising techniques through the calculation of the speech transmission index (STI). …”
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A powerful lens for temporal network analysis: temporal motifs by Ahmet Erdem Sarıyüce

“…While significant progress has been made in static network analysis and the handling of temporal/sequential data, the current state-of-the-art techniques for temporal network analysis are not sufficiently mature to effectively address the challenges posed by real-world continuous-time temporal networks, such as their diverse nature, unclear scale, and massive size. …”
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Genome resequencing and comparative analysis of Streptococcus mutans in adults with high and low caries risk by Merve Yildirim Ucuncu, Musa Kazim Ucuncu, Ilker Karacan, Nursen Topcuoglu

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HIFDA - High-Frequency Electrical Voltage and Current Signals from Household Appliances by Víctor M. Navarro, Marta Barragán, Rubén Nieto, Jesús Ureña, Álvaro Hernández

“…Abstract The increasing demand for efficient energy management in smart grids has led to the development of various Non-Intrusive Load Monitoring (NILM) techniques. These aim to disaggregate energy consumption and classify appliances using data from a single-point smart meter at a household’s grid mains. …”
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A dataset to train intrusion detection systems based on machine learning models for electrical substationsZenodo by Esteban Damián Gutiérrez Mlot, Jose Saldana, Ricardo J. Rodríguez, Igor Kotsiuba, Carlos Gañán

“…This paper presents a comprehensive dataset of substation traffic, aimed at improving the training and benchmarking of Intrusion Detection Systems (IDS) installed in these facilities that are based on machine learning techniques. …”
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WF-PPG: A Wrist-finger Dual-Channel Dataset for Studying the Impact of Contact Pressure on PPG Morphology by Matthew Yiwen Ho, Hung Manh Pham, Aaqib Saeed, Dong Ma

“…WF-PPG is designed to facilitate the analysis of effects of contact pressure on PPG morphology and to support the development and evaluation of advanced data-driven techniques aimed at enhancing the reliability of PPG-based health monitoring.…”
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