Harmonizing remote sensing and ground data for forest aboveground biomass estimation by Ying Su, Zhifeng Wu, Xiaoman Zheng, Yue Qiu, Zhuo Ma, Yin Ren, Yanfeng Bai

“…However, the complexity of forest ecosystems and the diversity of geography bring great challenges to traditional biomass estimation methods. This study aims to develop an optimized AGB estimation framework that integrates heterogeneous data sources (i.e., ground survey data, National Forest Continuous Inventory (NFCI) data, and both active and passive remote sensing data) to enhance estimation accuracy and address the needs of future satellite missions and forest monitoring efforts. …”
Get full text

Dynamic QoS-aware intelligent edge computing resource management algorithm for body area networks by MU Siqi, WEN Shuo, LU Yang, AI Bo

“…Then, a multi-source task priority sequence for each BAN was constructed and an online decision-making method that integrated proximal policy optimization (PPO) was proposed for task offloading and computing resource allocation. …”
Get full text

The Impact of Nature Reserves on the Ecological Network of Urban Agglomerations—A Case Study of the Urban Agglomeration in the Middle Reaches of the Yangtze River by Weidi Li, Xiaoxu Liang, Anqiang Jia, John Martin

“…Different types of nature reserves are then superimposed to create four distinct source schemes. Subsequently, a resistance surface is constructed through a comprehensive evaluation method to assess ecological barriers. …”
Get full text

A clustering-based co-allocation of battery swapping stations and wind-photovoltaic plants in radial distribution systems by Hamed Shams, Naghi Rostami, Behnam Mohammadi Ivatloo

“…A K-means clustering method is implemented to classify price, energy demand, wind, and photovoltaic generation into appropriate clusters embedded into the particle swarm optimization (PSO) algorithm. …”
Get full text

Frequency minimum inertia calculation of complex power systems based on an improved simulated annealing algorithm by Qiang Zhang, Qi Jia, Tingqi Zhang, Hui Zeng, Chao Wang, Wansong Liu

“…In order to enhance the inertia situational awareness and stability of the power system in the context of the reduction of power system inertia and the challenge of frequency stability due to the high proportion of new energy access, the background and purpose of the study are stated in the introduction; methodologically, based on the frequency response model of the power system, we analyze the time and magnitude of the maximum frequency offset, clarify the factors affecting the frequency stability and construct the mathematical relationship, and then build a model for assessing the minimum inertia of the power system taking into account the virtual inertia of the new energy source. Then, based on the whole process of frequency response, we construct a power system minimum inertia assessment model taking into account the virtual inertia of new energy sources, and introduce an improved simulated annealing algorithm to solve the problem; the results validate the accuracy of the method through the IEEE-14 node model; the discussion section points out that this method provides a feasible solution for the inertia situational awareness of power system, which is helpful for the optimization of the operation, and also proposes that in the future we can take into account more uncertainties to improve the model and algorithm and to enhance the practicability and adaptability of this method. …”
Get full text

New Mellin-Based Estimation and GoF Criteria for the Beta-Weibull Model by J.M. Vasconcelos, R. J. Cintra, A. D. C. Nascimento

“…In general, although their asymptotic properties are well-defined, MLEs do not always assume closed-form and require the use of interactive optimization sources. In this paper, we propose a new estimation method based on log-cumulant (LC) expressions for the beta-Weibull (BW) distribution, an important beta-G model. …”
Get full text

Effect of Culture Media on the Yield and Protein Content of Pleurotus ostreatus (Jacq.) Kumm Mycelia by Kayise Hypercia Maseko, Thierry Regnier, Obiro Cuthbert Wokadala, Paul Bartels, Belinda Meiring

“…In this study, we investigated the culture conditions for Pleurotus ostreatus mycelia, focusing on the nutritional requirements and yield optimization using solid surface culture and liquid-state culture methods. …”
Get full text

Assessment of the Solar Potential of Buildings Based on Photogrammetric Data by Paulina Jaczewska, Hubert Sybilski, Marlena Tywonek

“…The proposed algorithm enabled assessing the efficiency of photovoltaic panels and comparing the results of maps of the solar potential of buildings, as well as identifying the areas that require optimization. The results of the analysis, which had been conducted in the test areas in the village and on the campus of the university, confirmed the usefulness of the above proposed methods. …”
Get full text

Estimating the State of Charge in Lithium Primary Batteries: Recent Advances and Critical Insights by Sydney Roth, Daniel Wesolowski, David Schrock, Noah Schorr, Sakineh Chabi

Get full text

Air-stable silicon hybrid solar cells constructed via hydrophobic polymer film by Qi Geng, Zhen Liu, Yuzhou Liu, Zhe Wang, Zhongliang Gao, Xin Sun, Yingfeng Li, Lei Chen, Xiaojun Lv, Meicheng Li

Get full text

A Brief Review on the Development Progress of High-Efficiency Klystrons by Soumaya Mandal, Ayan Kumar Bandyopadhyay, Chaitali Koley, Debasish Pal, Taha Selim Ustun, Ahmet Onen

“…This paper presents a brief review on recently emerging bunching formation techniques and configurations, including the Core Oscillation Method (COM), Core Stabilization Method (CSM), Bunch Alignment Collection method (BAC), Kladistron principle, Multigap output structures, novel architecture of Two Stage Multibeam klystrons, and related optimization techniques. …”
Get full text

Dynamic pricing strategy of low-carbon integrated energy system considering multiple uncertainties by BIAN Xinyi, FAN Hong, ZENG Bo

Get full text

Assessing the Spatial Sustainability of Urban Bus Transit: A Socioeconomic Sustainability Perspective by Fei Shi, Jingang Zhang, Tiantian Wu

“…This concept aims to achieve a balance in the spatial distribution of bus routes, optimizing both social and economic benefits. The paper presented a novel approach that utilizes multisource big data to assess the spatial sustainability of bus transit, with a specific focus on the existing transit-supportive area (TSA) method. …”
Get full text

Automated Bell inequality violation searches for estimating entanglement quality in fiber by Evan Dowling, Gerald Baumgartner, Richard Brewster, Mark Morris, Anne Marie Richards, Rajarshi Roy, Thomas E. Murphy

“…The iterative methods used within our experiment are the Nelder–Mead optimization method, stochastic gradient descent, and Bayesian optimization. …”
Get full text

Energy Management Considering Energy Storage and Demand Response for Smart Energy Hub in Internet of Things by Jinyong Lei, Changcheng Zhou, Xiaolin Li, Andi Huang, Hao Bai, Zhiyong Yuan, Linjie Zhou

Get full text

Wastewater Denitrification with Solid-Phase Carbon: A Sustainable Alternative to Conventional Electron Donors by Dorsa Barkhordari, Jithin Mathew, Basem Haroun, Lars Rehmann, Sudhir Murthy, Domenico Santoro

“…Biological denitrification, the favored method for removing nitrates, typically needs an external carbon source to support microbial processes. …”
Get full text

Smart Attention (SAB-LSTM): A Revolutionary Model for Advanced Solar Energy Forecasting by Aljafari Belqasem, Babu Thanikanti Sudhakar

“…Solar power forecasting has a significant relevance to the optimization of energy management and to maintaining the reliability of the power systems against the growing use of renewable sources of energy globally. …”
Get full text

Development of deep learning models for high-resolution exposome mapping and health impact assessment by Lan Luan, Zhu Daoyu

“…Traditional exposome mapping methods often face limitations, such as low spatial-temporal resolution, challenges in integrating multi-modal data sources, and inadequate handling of uncertainties in exposure quantification.MethodsTo address these gaps, we introduce an innovative framework that leverages advanced deep learning techniques, adaptive optimization strategies, and multi-scale data integration to achieve high-resolution exposome modeling. …”
Get full text

Conventional and artificial intelligence based maximum power point tracking techniques for efficient solar power generation by Malhar Khan, Muhammad Amir Raza, Muhammad Faheem, Shahjahan Alias Sarang, Madeeha Panhwar, Touqeer Ahmed Jumani

“…Compared to available research, which often reports lower accuracies for conventional techniques, our study highlights the enhanced performance of AI‐based methods. This study provides a comprehensive comparative analysis, delivering critical analysis and practical guidance for engineers and researchers in selecting the most effective MPPT controller optimized to specific environmental conditions. …”
Get full text

The Use of General Inverse Problem Platform (GRIPP) as a Robust Backtracking Solution by Nikolas Gomes Silveira de Souza, Jader Lugon, Alexandre Macedo Fernandes, Ramiro Joaquim de Jesus Neves, Antônio José da Silva Neto

“…The use of GRIPP can bypass eventual numerical errors in cases of long-term pollution source identification when compared to traditional methods. …”
Get full text