Machine Learning in Smart Buildings: A Review of Methods, Challenges, and Future Trends by Fatema El Husseini, Hassan N. Noura, Ola Salman, Khaled Chahine

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From archival research to the digitization of existing architectural heritage: methods and processes compared by Chiara Vernizzi, Virginia Droghetti

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Influence of homogenization methods on lichen species detection from environmental DNA metabarcoding by Ayumi Sakata, Toshifumi Minamoto, Tetsuya Sado, Ryo O. Gotoh, Masaki Miya

“…We previously developed a simple and efficient method for capturing arboreal biodiversity using stemflow as a source of eDNA; however, its performance with or without homogenization had not yet been compared. …”
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Flexible and Scalable Particle‐in‐Cell Methods With Adaptive Mesh Refinement for Geodynamic Computations by Rene Gassmöller, Harsha Lokavarapu, Eric Heien, Elbridge Gerry Puckett, Wolfgang Bangerth

“…Yet today's codes increasingly use adaptive mesh refinement (AMR) of unstructured coarse meshes, dynamic repartitioning, and scale to thousands of processors. Optimally balancing the work per processor for a PIC method in these environments is a difficult problem, and many existing implementations are not sufficient for this task. …”
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Layered Soil Moisture Retrieval and Agricultural Application Based on Multi-Source Remote Sensing and Vegetation Suppression Technology: A Case Study of Youyi Farm, China by Zhonghe Zhao, Yuyang Li, Kun Liu, Chunsheng Wu, Bowei Yu, Gaohuan Liu, Youxiao Wang

“…The accurate monitoring and quantitative retrieval of soil moisture play a crucial role in optimizing agricultural water resource management. In recent years, the development of multi-source remote sensing technologies—such as high spatiotemporal resolution optical, radar, and thermal infrared sensors—has opened new avenues for efficient soil moisture retrieval. …”
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The effectiveness analysis of traditional and new landscape indexes in indicating flood risk of watersheds from the perspective of source-sink landscapes: A case study of Changsha,... by Lingxuan Zhang, Sheng Jiao, Jie Lu

“…This study identified effective traditional indexes and developed a new index based on flood risk formation mechanisms, advancing landscape pattern research in flood risk management from a source-sink perspective. The findings offer an effective ecological approach for stormwater management and provide valuable insights for optimizing landscape spatial patterns. …”
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A Review of Wind Power Prediction Methods Based on Multi-Time Scales by Fan Li, Hongzhen Wang, Dan Wang, Dong Liu, Ke Sun

“…This work uses a narrative method to synthesize and discuss wind power prediction methods. …”
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A Time-Segmented SAI-Krylov Subspace Approach for Large-Scale Transient Electromagnetic Forward Modeling by Ya’nan Fan, Kailiang Lu, Juanjuan Li, Tianchi Fu

“…The numerical results show that this parameter optimization strategy reduces the iteration count of the PCG method, improving efficiency by a factor of 5 compared to conventional iterative methods. …”
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Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics by Shifan Ding, Na Lu, Hassan Abolhassani

“…If the measurement of combined surface and intracellular markers is required to be achieved, the modified fixation and permeabilization method is recommended because of a lower transcriptomic loss and more precise proteomic fingerprint detected. (4) Conclusions: The findings of this study support the potential possibility for integrating intracellular proteomics, which needs to be optimized and tested with newly designed oligonucleotide-tagged antibodies targeting intracellular proteins.…”
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A comprehensive review of data analytics and storage methods in geothermal energy operations by Ali Basem, Ahmed Kateb Jumaah Al-Nussairi, Dana Mohammad Khidhir, Narinderjit Singh Sawaran Singh, Mohammadreza Baghoolizadeh, Mohammad Ali Fazilati, Soheil Salahshour, S. Mohammad Sajadi, Ali Mohammadi Hasanabad

“…Geothermal energy storage (GES) systems are thoroughly examined in this research, with a focus on methods like borehole thermal energy storage (BTES), underground thermal energy storage (UTES), and aquifer thermal energy storage (ATES). …”
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Comparative Analysis of Perspective Extragation Methods for Receiving Extractions from Fenugreek Seeds by S. S. Belokurov, E. V. Flisyuk, I. A. Narkevich, V. G. Luzhanin, S. V. Shilov, K. O. Novikova

“…Plant extracts with a high level of risk do not have a harmful effect on the human body, except that they provide environmental safety, which creates a special interest for the pharmaceutical industry . vibrocavitation and supercritical fluid СО2 extraction.Aim. The choice of the optimal level of extraction to obtain a high level of fenugreek seeds.Materials and methods. …”
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Analysis of software methods for metal computed tomography artifact reduction: experimental research by A. V. Petraikin, Yu. A. Vasilev, Z. R. Artyukova, A. K. Smorchkova, D. S. Semenov, А. А. Baulin, A. A. Alikhanov, R. A. Erizhokov, O. V. Omelyanskaya

“…To conduct a visual (qualitative) and quantitative assessment of metal artifacts in CT images using software methods for their reduction.Materials and methods. …”
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Biomanager Optimization Model for Enhancing Biogas Production from Cattle Farming in a Circular Economy System by Santiago Alexander Guamán Rivera, José Miguel Mira Naranjo, José Miguel Mira Naranjo

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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…This study compares the effect of several feature selection methods, machine learning (ML) classifiers, and sources of radiomic features, on models’ performance for the diagnosis of clinically significant prostate cancer (csPCa) from bi-parametric MRI. …”
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KAJIAN LITERATUR SISTEM INFORMASI MANAJEMEN STOK by Guntur Maulana Putra, Sheila Nurul Huda

“…This research uses qualitative descriptive writing with library research methods. by reviewing various bibliographic source journals. …”
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USE OF MONTE CARLO SIMULATIONS FOR OPTIMAL GEOMETRY STUDY IN CALCULATION OF ATTENUATION COEFFICIENT FOR ELEMENT, COMPOUND AND MIXTURE by Caroline Mattos Barbosa, Cesar Raitz, Roos Sophia de Freitas Dam, William Luna Salgado, Cesar Marques Salgado, Delson Braz

“…Several measurement geometries were tested with different radiation energies, and the best results were obtained using lead collimators on both detector and radiation source. The considered geometries were isotropic source without any collimation, isotropic source with detector and/or source collimation, and a point source collimated into a cone of directions. …”
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A Combined Study on Optimization, In Silico Modeling, and Genetic Modification of Large Scale Microbial Cellulase Production by Md. Raisul Islam Rabby, Zabed Bin Ahmed, Gobindo Kumar Paul, Nafisa Nusrat Chowdhury, Fatema Akter, Mamudul Hasan Razu, Pranab Karmaker, Mala Khan

“…In this review, we focus not only on the conventional methods of cellulase production but also on modern biotechnological approaches applied to cellulase production by a sequential study on common cellulase-producing microbes, modified microbes, culture media, carbon sources, substrate pretreatment process, and the importance of optimum pH and temperature on fermentation. …”
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Estimation of Hydroelectric Power Generation Forecasting and Analysis of Climate Factors with Deep Learning Methods: A Case Study in Yozgat Province in Turkey by Feyza Nur Çakıcı, Suleyman Sungur Tezcan, Hıdır Düzkaya

“…The hyper-parameters of the models are adjusted using the Bayesian Optimization (BO) method. The performance of monthly hydroelectric power prediction models is assessed using metrics such as correlation coefficient (R), root mean square error (RMSE), and mean absolute error (MAE). …”
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Optimizing Artificial Neural Network Learning Using Improved Reinforcement Learning in Artificial Bee Colony Algorithm by Taninnuch Lamjiak, Booncharoen Sirinaovakul, Siriwan Kornthongnimit, Jumpol Polvichai, Aysha Sohail

“…Artificial neural networks (ANNs) are widely used machine learning techniques with applications in various fields. Heuristic search optimization methods are typically used to minimize the loss function in ANNs. …”
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Valorization of <i>Tagetes erecta</i> L. Leaves to Obtain Polyphenol-Rich Extracts: Impact of Fertilization Practice, Phenological Plant Stage, and Extraction Strategy by Narda Mejía-Resendiz, Martha-Estrella García-Pérez, Gina Rosalinda De Nicola, Noé Aguilar-Rivera, Emma-Gloria Ramos-Ramírez, María Galindo, Miguel Avalos-Viveros, José-Juan Virgen-Ortiz

“…This underscores the significance of <i>T. erecta</i> leaf residues as a valuable source of bioactive molecules, highlighting the importance of integrating agricultural practices and chemical extraction methods to enhance the phenolic content in leaf extracts from this species.…”
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