In vitro Antimicrobial Activity, Optimization, GC-MS, and In silico analysis for Anticancer Potency of Schizophyllum commune (AVNK2), An Endophyte Isolated from Nigella sativa Seed... by Shaik Mahekal Kousar, V. Krishnaveni, Amrutha V. Audipudi

“…The optimal physicochemical parameters of culture media for enhancing bioactivity were glucose as carbon, beef extract as nitrogen sources, pH 7.0, and temperature 30 °C with 21 days of incubation. …”
Get full text

A hybrid biomass supply chain optimization approach using sequential adaptive fuzzy inference learning: Insights from a cogeneration system in Europe by Seyydeh Atefeh Mousavi Abandansari, Peiman Ghasemi, Ahmad Attar, Fariba Goodarzian, Seyedeh Asra Ahmadi

“…This paper explores the biomass supply chain's untapped potential as an entrepreneurial opportunity, analyzing its complexities from raw material sourcing to product distribution. The study utilizes a hybrid, multifaceted approach to allow for such a thorough analysis, in which the first phase is to analyze questionnaires and use the fuzzy Delphi method to determine how various components and factors impact the biomass supply chain. …”
Get full text

Efficient hybrid heuristic adopted deep learning framework for diagnosing breast cancer using thermography images by Ahmad Y. A. Bani Ahmad, Jafar A. Alzubi, Manimaran Vasanthan, Suresh Babu Kondaveeti, J. Shreyas, Thella Preethi Priyanka

“…Initially, thermography images are chosen from online sources. The collected thermography images are being preprocessed by Contrast Limited Adaptive Histogram Equalization (CLAHE) and contrasting enhancement methods to improve the quality and brightness of the images. …”
Get full text

Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…Its reliability depends on variable renewable output and load demand, while an energy management system optimizes power scheduling and reduces costs. In the first phase of this paper, uncertainty parameters like day‐ahead power from renewable energy sources (RES) and load demand (LD) are forecasted using the long short‐term memory (LSTM) deep learning algorithm. …”
Get full text

Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing by Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle

“…In this paper, we propose a novel hybrid deep learning algorithm called IDLA (integrated deep learning with the Lagrangian method). This integrated approach aims to enhance the scalability, flexibility, and robustness of slicing resource allocation solutions by harnessing the high approximation capability of deep learning and the strong generalization of classical non-linear optimization methods. …”
Get full text

Synthesis and optimization of low-cost metal-organic frameworks from melamine and bauxite for efficient removal of bromocresol green from water using response surface methodology by Mahdieh Chegeni, Mohanna Chegeni, Maedeh Nazari, Ghazal Ebrahim Zade

“…Sustainable chemistry is an important subject in the research area, so the metal-organic framework (MOF) was synthesized through the solvothermal method with bauxite as a natural source of metal and melamine as a ligand. …”
Get full text

Effects of Culture Conditions on the Growth of Dominant Strain ZLX10 from Cigar by Yong PAN, Beibei ZHANG, Yabin ZHOU, Jie HU, Yuhui JING, Linlin LI, Youyi HUANG, Jian WANG

“…Through single factor and orthogonal test, the optimal medium formula of strain ZLX10 was obtained as follows: carbon source (sucrose) 50 g/L, nitrogen source (yeast extract) 20 g/L, inorganic salt (MgSO4) 0.25 g/L, and the optimal culture conditions were 1% (V/V) of inoculum, 30 mL/250 mL of liquid content, and 24 h of seed age. …”
Get full text

Time frequency analysis of elastic wave PSO OMP for defects in flat steel of down conductors by Jing Zhang, Wei Liu, Minghui Bao, Peng Yang, Xuhua Liu, Zhihong Fu

“…Abstract This article proposes a method based on elastic wave data reconstruction and denoising to solve the problem of defect localization in grounding grid down conductor flat steel. …”
Get full text

A tool for automatic parallelization of affine programs for systems with shared and distributed memory by Sh. G. Magomedov, A. S. Lebedev

“…The implementation of developed methods is done in Haskell within the source-to-source translator performing automatic parallelization. …”
Get full text

Dynamic reconfiguration of distribution networks considering wind-PV-load scenarios by LIU Ronghui, CHEN Geng, SUN Gaiping, LIN Shunfu, WANG Xu

“…The non-dominated sorting genetic algorithm II （NSGA-II） and fuzzy comprehensive evaluation method are utilized to derive the optimal reconfiguration strategy. …”
Get full text

Proactive Scheduling and Routing of MRP-Based Production with Constrained Resources by Jarosław Wikarek, Paweł Sitek

“…The lack of seamless integration between customer orders and production tasks, combined with the manual and time-consuming nature of schedule adjustments, highlights the need for an automated and optimized scheduling method. We propose a novel optimization-based approach that leverages mixed-integer linear programming (MILP) combined with a proprietary procedure for reducing the size of the modeled problem to generate feasible and/or optimal production schedules. …”
Get full text

Revolutionizing Molecular cloning: Introducing FastCloneAssist, a Streamlined Python tool for optimizing primer design in restriction & ligation-independent PCR cloning. by Pradip Kumar Singh, Michael S Donnenberg

“…FastCloning, a paradigm shift in PCR cloning, has streamlined the process by eliminating laborious, multi-step traditional methods. This innovative technique, pioneered by Li et al. (2011), utilizes overlapping PCR primers and DpnI digestion for seamless integration of insert DNA into any desired vector position, regardless of restriction sites. …”
Get full text

Efficient thermal integration model based on a biogas-fired gas turbine cycle (GTC) for electricity and desalination applications; thermo-economic and GA-based optimization by Amr S. Abouzied, Sarminah Samad, Azher M. Abed, Mohamed Shaban, Fahad M. Alhomayani, Shirin Shomurotova, Mohammad Sediq Safi, Raymond Ghandour, Yasser Elmasry, Albara Ibrahim Alrawashdeh

“…The significance of this study lies in its comprehensive approach, combining thermodynamic, environmental, and thermoeconomic analyses alongside thorough sensitivity evaluations. A triple optimization framework was implemented to optimize the system's performance, focusing on key metrics such as exergy efficiency, CO2 reduction rates, and levelized energy cost, utilizing the NSGA-II and the TOPSIS decision-making method in MATLAB software. …”
Get full text

Hand gestures classification of sEMG signals based on BiLSTM-metaheuristic optimization and hybrid U-Net-MobileNetV2 encoder architecture by Khosro Rezaee, Safoura Farsi Khavari, Mojtaba Ansari, Fatemeh Zare, Mohammad Hossein Alizadeh Roknabadi

“…This paper aims to introduce a novel method for hand gesture classification using sEMG data, addressing accuracy challenges seen in previous studies. …”
Get full text

Two-Stage Stochastic Scheduling of Virtual Power Plant Based on Transactive Control by Meng Song, Xiaoyuan Xu, Ciwei Gao, Zheng Yan, Mohammad Shahidehpour

“…The proposed method is effectively validated by comparison with robust optimization and stochastic optimization. …”
Get full text

Pressure Sensor Placement for Pipe Roughness Calibration Based on Graph-Based Surrogate Model Coupled with Genetic Algorithm by Mohammad Rajabi, Mohsen Hajibabaei, Massoud Tabesh, Robert Sitzenfrei

Get full text

MIWO based MPPT of PV system for induction motor driven water pumping system by S. Anbuchandran, D. Silas Stephen, M. Arumuga Babu, A. Bhuvanesh

“…The system handles Partial Shading Conditions (PSC) effectively, thanks to a sensorless speed controller combining a Modified Invasive Weed Optimization (MIWO) mechanism with the Perturb and Observe (P&O) method. …”
Get full text

Multi-View Robust Tensor-Based Subspace Clustering by Esraa M. Al-Sharoa, Mohammad A. Al-Wardat

“…Moreover, a common subspace is computed among all views where the contribution of each view to the common subspace is optimized. The proposed method is applied to several real-world data sets and the results show that the proposed method achieves the best performance compared to other state-of-the-art algorithms.…”
Get full text

Soft-switching predictive Type-3 fuzzy control for microgrid energy management by Walid Ayadi, Jafar Tavoosi, Amirhossein Khosravi Sarvenoee, Ardashir Mohammadzadeh

“…The study’s findings demonstrate that, in addition to lowering energy expenses in large commercial buildings, the suggested strategy optimizes the use of renewable energy sources and storage capacity in a range of network scenarios. …”
Get full text

Facility location problem for senior centers in an upcoming super-aging society by Eun Hak Lee, Jonghwa Jeong

“…The objective is to minimize travel distances for older adults while accounting for constraints such as mobility limitations and the existing distribution of senior centers. The elbow method is employed to identify the optimal number of new centers, balancing service accessibility and resource allocation. …”
Get full text