Problems of Investment Planning in Upstream companies by L. R. Artemkina

“…The goal of research is to study the current problems of investment planning in Russian upstream companies, which are caused by imperfection of the current methodology of the functional business process “Investment planning”, and to develop the recommendations on solving these problems. Methods. The general scientific research methods are used in the study: analysis and synthesis, induction, modeling and system approach. …”
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Statistical and neural network modeling of β-glucanase production by Streptomyces albogriseolus (PQ002238), and immobilization on chitosan-coated magnetic microparticles by Nourhan H. Elshami, Ghadir S. El‑Housseiny, Mahmoud A. Yassien, Nadia A. Hassouna

“…Other fermentation conditions were optimized through response surface methodology (RSM); D-optimal design (DOD) with a total of 28 runs. …”
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Optimal energy management of distributed generation resources in a microgrid under various load and solar irradiance conditions using the artificial bee colony algorithm by Tareq Hamadneh, Omar Alsayyed, Belal Batiha, El Manaa Barhoumi, Mehrdad Ahmadi Kamarposhti, Hassan Haghighi, Phatiphat Thounthong, Ilhami Colak

“…Achieving these objectives requires comprehensive modeling of all microgrid components, including load profiles, generation sources, and the network structure. In recent years, metaheuristic optimization techniques have gained significant traction due to their flexibility and robustness in handling complex, nonlinear, and multi-objective problems without the need for initial estimations. …”
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Optimization of Power System Black Start partition Target Network Taking into Account the Black Start Space-Time Support Capability of New Energy Station by Ruixin WANG, Jiguang SUN, Yan LIU, Lun CHENG, Ting XU, Guanghui SUN

“…Taking into account the spatiotemporal support capacity of new energy station black start, a target network optimization method for power system black-start zoning is proposed to improve unconventional security defense ability of the new power system. …”
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SIDDA: SInkhorn Dynamic Domain Adaptation for image classification with equivariant neural networks by Sneh Pandya, Purvik Patel, Brian D Nord, Mike Walmsley, Aleksandra Ćiprijanović

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Framework for Personalizing Wearable Devices Using Real-Time Physiological Measures by Prakyath Kantharaju, Sai Siddarth Vakacherla, Michael Jacobson, Hyeongkeun Jeong, Meet Nikunj Mevada, Xingyuan Zhou, Matthew J. Major, Myunghee Kim

“…In this study, we present an open-source, device-independent personalization framework that allows for human-in-the-loop optimization. …”
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Optimization of Ultrasonication Probe-Assisted Extraction Parameters for Bioactive Compounds from <i>Opuntia macrorhiza</i> Using Taguchi Design and Assessment of Antioxidant Prope... by Dimitrios Kalompatsios, Vassilis Athanasiadis, Martha Mantiniotou, Stavros I. Lalas

“…Ultrasound probe-assisted extraction (UPAE) is a highly promising method for efficiently extracting valuable molecules from natural sources. …”
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Optimasi Algoritma Support Vector Machine Berbasis Kernel Radial Basis Function (RBF) Menggunakan Metode Particle Swarm Optimization Untuk Analisis Sentimen by Cucun Very Angkoso, Khozainul Asror, Ari Kusumaningsih, Andi Kurniawan Nugroho

“…The study investigates the effectiveness of the Particle Swarm Optimization (PSO) method for balanced and unbalanced datasets and how well it improves sentiment analysis accuracy when applied to the Support Vector Machine (SVM) algorithm when using Radial Basis Function (RBF) kernel. …”
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Response surface optimized green approach for silk and cotton dyeing using peels extract as a dye and pomegranate rind as bio-mordant: Waste to craft by Hafiz Nawaz Hussain, Faiza Imtiaz, Arfaa Sajid, Umer Younas, Qaisar Manzoor, Wissem Mnif, Arif Nazir, Samiah H Al-Mijalli, Munawar Iqbal, Nimra Ehsan

“…In this study, a green method was employed for dyeing silk and cotton fabrics using extracts from Beta vulgaris peels as a colorant, pomegranate rind as a bio-mordant, and microwave-assisted extraction as a green extraction technique. …”
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Optimization of extraction in supercritical fluids in obtaining Pouteria lucuma seed oil by response surface methodology and artificial neuronal network coupled with a genetic algo... by Alex Chauca-Cerrutti, Marianela Inga, José Luis Pasquel-Reátegui, Indira Betalleluz-Pallardel, Gustavo Puma-Isuiza

“…When processing lucuma (Pouteria lucuma), waste such as shells and seeds is generated, which is a source of bioactive compounds. Recently, lucuma seed (LS), especially its oily fraction, has been studied for containing phytosterols and tocopherols, powerful antioxidants with health benefits. …”
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Multiscale feature tuned trans-DeepLabV3+ based semantic segmentation of aerial images using improved red piranha optimization algorithm by P. Anilkumar, K. Lokesh, A. Naveen Kumar, D. John Pradeep, Y. V. Pavan Kumar, Rammohan Mallipeddi

“…In this work, an effective image semantic segmentation method utilizing deep learning techniques is designed using a heuristic technique. …”
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Optimizing Smart Grid Load Forecasting via a Hybrid Long Short-Term Memory-XGBoost Framework: Enhancing Accuracy, Robustness, and Energy Management by Falah Dakheel, Mesut Çevik

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Optimization of Polyphenol Extraction from Purple Corn Pericarp Using Glycerol/Lactic Acid-Based Deep Eutectic Solvent in Combination with Ultrasound-Assisted Extraction by Ravinder Kumar, Sherry Flint-Garcia, Miriam Nancy Salazar Vidal, Lakshmikantha Channaiah, Bongkosh Vardhanabhuti, Stephan Sommer, Caixia Wan, Pavel Somavat

“…Purple corn pericarp, a processing waste stream, is an extremely rich source of phytochemicals. Optimal polyphenol extraction parameters were identified using response surface methodology (RSM) by combining a deep eutectic solvent (DES) and ultrasound-assisted extraction (UAE) method. …”
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Optimization of Ultrasonic-Enzymatic-Assisted Extraction of Flavonoids from Sea Buckthorn (<i>Hippophae rhamnoides</i> L.) Pomace: Chemical Composition and Biological Activities by Wenyu Suo, Wenzhe Wang, Dajing Li, Haihong Wu, Haiyan Liu, Wuyang Huang, Yanhong Ma

“…These findings indicate that it is a reliable, optimal extraction method to obtain potential antioxidant and hypoglycemic flavonoids from SBP for comprehensive development in functional food.…”
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Solar FaultNet: Advanced Fault Detection and Classification in Solar PV Systems Using SwinProba‐GeNet and BaBa Optimizer Models by Praveen Kumar Balachandran, Muhammad Ammirrul Atiqi Mohd Zainuri, Faisal Alsaif

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Optimization of photodegradation of acid blue 1 dye on aluminosilicate supported Cu doped TiO2 magnetic nanocatalyst using response surface methodology by Fatemeh Mollaie, Mahdieh Afroomand, Najmeh Ahmadi, Nezamaddin Mengelizadeh, Davoud Balarak

“…In this study, sunlight was utilized as an energy source for the degradation process. The degradation of AB1 reached its peak efficiency under the following optimal conditions: catalyst mass of 0.75 g/L, AB1 concentration of 37.5 mg/L, pH of 3, and a contact time of 45 min. …”
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Optimization of steps in the technology of obtaining doubled haploids of summer squash (<i>Cucurbita pepo</i> L.) in the culture of unpollinated ovules <i>in vitro</i> by A. S. Ermolaev, E. A. Domblides

“…The aim of the study was to optimize the individual stages of the technology.Methods. …”
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Comparative Analysis of Supervised Learning Techniques for Forecasting PV Current in South Africa by Ely Ondo Ekogha, Pius A. Owolawi

“…The empirical formula’s measured currents are compared with outputs from various neural networks techniques, including feedforward neural networks (FFNNs), the general regression network known as GRNN, cascade forward neural networks also known as CFNNs, and adaptive fuzzy inference systems known as ANFISs, all optimized for enhanced accuracy using the particle swarm optimization (PSO) method. …”
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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

“…The main advantage for readers is that FATA provides a reliable and efficient way to optimize power systems. Future work could also investigate the application of FATA in real time, as well as in larger power networks with more renewable energy sources.…”
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Optimized framework for magnetohydrodynamic Darcy–Forchheimer flow of Reiner–Philippoff fluid incorporating homogeneous–heterogeneous reactions with radiative heat transfer and Cat... by M.S. Alqurashi

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