Geographic Information System-Based Framework for Sustainable Small and Medium-Sized Enterprise Logistics Operations by Jonathan Agoo, Renz Joshua Lanuza, Jonathan Lee, Paul Anthony Rivera, Neil Oliver Velasco, Marielet Guillermo, Arvin Fernando

“…A mobile application built on this framework was integrated with a waypoint order optimization algorithm considering an entire route that traverses all the required pick-up and delivery points. …”
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Game-based resource allocation in heterogeneous downlink CR-NOMA network without subchannel sharing by Deepa Das, Rajendra Kumar Khadanga, Deepak Kumar Rout, Md. Minarul Islam, Taha Selim Ustun

“…Our approach introduces a new SU clustering method based on fuzzy logic, paired with a hierarchical learning method inspired by the well-known UCB1 algorithm to allocate power effectively to these clusters. …”
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Optimal Commissioning of Power Plant Units by Including an Energy Storage System and Demand-Side Program Using a Hybrid Bacterial Foraging and Honey Bee Optimization Method by Afshar Shokri, Hamid Shakibi, Behrooz Sobhani

“…To solve the problem of UC programming, a hybrid honey bee mating and bacterial foraging algorithm are used to reduce the complexity of the problem and achieve optimal results.…”
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Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats by Egidijus Jurkus, Julius Taminskas, Ramūnas Povilanskas, Arvydas Urbis, Jovita Mėžinė, Domantas Urbis

“…The approach combined the surveillance of the cliff using unmanned aerial vehicles (UAVs) with the data analysis using an ArcGIS algorithm specially adjusted for linear habitats. The authors discerned two short-term behavior forms—cliff base cavities and scarp slumps. …”
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Vibration Based Diagnosis for Planetary Gearboxes Using an Analytical Model by Liu Hong, Yongzhi Qu, Yuegang Tan, Mingyao Liu, Zude Zhou

“…The proposed vibration based scheme integrates the analytical model, a denoising algorithm, and frequency domain indicators into one synergistic system for the detection and identification of damaged gear teeth in planetary gearboxes. …”
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A fast registration method for multi-view point clouds with low overlap in robotic measurement by Chuangchuang Li, Xubin Lin, Zhaoyang Liao, Hongmin Wu, Zhihao Xu, Xuefeng Zhou

“…Subsequently, the features are sampled through unanimous voting and fed into the RANSAC (Random Sample Consensus) algorithm for pose estimation, enabling multi-view point cloud registration. …”
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Measurement of Coordinated and Coupled Development and Evaluation of Sustainable Development for Marine Economic-Ecological Complex System by Mingming Wen, Chang Liu, K. A. Mamonov, Jun Du

“…Through experiments, the outputs of decision-making units (DMUs) of our model were obtained, and the development of the subsystems in MEECS was evaluated comprehensively to verify the effectiveness of our algorithm.…”
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A Three-Stage Birandom Program for Unit Commitment with Wind Power Uncertainty by Na Zhang, Weidong Li, Rao Liu, Quan Lv, Liang Sun

“…A birandom simulation based hybrid genetic algorithm is designed to solve the proposed model. …”
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Memory-driven deep-reinforcement learning for autonomous robot navigation in partially observable environments by Estrella Montero, Nabih Pico, Mitra Ghergherehchi, Ho Seung Song

“…We propose a memory-driven algorithm that employs deep reinforcement learning to enable collision-free proactive navigation in partially observable environments. …”
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Machine Learning Classification Model to Label Sources Derived from Factor Analysis Receptor Models for Source Apportionment by Vikas Kumar, Vasudev Malyan, Manoranjan Sahu, Basudev Biswal

“…In this study, a machine learning (ML) classification algorithm, k-nearest neighbour (kNN), is applied to the source profiles obtained from the United States Environmental Protection Agency’s (U.S. …”
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Evaluating the Sustainable Growth of Small- and Medium-Sized Construction Enterprises Using the Multicriteria Decision-Making Method by Wenbao Wang, Wenhe Lin, Xinyi Dai, Yingzheng Yan, Aiping Xuan

“…Considering the development of small- and medium-sized construction enterprises, a growth evaluation index system that includes growth resources, growth ability, and growth innovation was established, and a growth evaluation model was constructed using the improved entropy-VIKOR algorithm. Evaluation and analysis of the sustainable growth of small- and medium-sized construction enterprises listed before the end of 2012 were conducted. …”
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Improvement of a Free-Wake Model for the Aerodynamic and Aeroacoustic Analysis of a Small-Scale Two-Bladed Propeller in Hover by Manuel Iannotta, Antonio Visingardi, Domenico Quagliarella, Fabrizio De Gregorio, Mattia Barbarino, Alex Zanotti

“…An optimization procedure based on the application of the evolutionary Genetic Algorithm is followed to identify the values of the parameters describing the dissipative and diffusive properties in the Bhagwat–Leishman vortex core model, an upgraded version of the classical Lamb–Oseen one. …”
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Transcriptome size matters for single-cell RNA-seq normalization and bulk deconvolution by Songjian Lu, Jiyuan Yang, Lei Yan, Jingjing Liu, Judy Jiaru Wang, Rhea Jain, Jiyang Yu

“…Here we introduce ReDeconv, a computational algorithm that incorporates transcriptome size into scRNA-seq normalization and bulk deconvolution. …”
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Dynamic Eco-Driving on Signalized Arterial Corridors during the Green Phase for the Connected Vehicles by Xiangmo Zhao, Xia Wu, Qi Xin, Kang Sun, Shaowei Yu

“…The results indicate that the fuel saving of the connected vehicle guided by the dynamic optimization algorithm shows significant improvement. In addition, the rolling optimization among three signalized intersections is conducted and the results show that a considerable improvement can be obtained compared with the one-by-one optimization.…”
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Detecting Unauthorized Movement of Radioactive Material Packages in Transport with an Adam-Optimized BP Neural Network Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Chaofeng Wang, Yu Mao, Zhenghai Liu

“…To analyze the performance of the proposed algorithm, numerous experiments were conducted. The results demonstrate that the proposed method achieves a 99.17% accuracy rate in detecting unauthorized movements of radioactive materials, with a missed alarm rate of 0.72% and a false alarm rate of 0.1%. …”
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Fair allocation of fixed cost in one- and two-stage systems using data envelopment analysis by Faranak Hosseinzadeh Saljooghi, Ali reza Pishgooy, Farhad Hamidi

“…Since cross-efficiency in data envelopment analysis handles these conditions of competition and cooperation between units well.Findings: In this article, using the improved cross-efficiency and the proposed algorithm, we allocate a unique fixed cost to the units under evaluation in single-stage and two-stage supply chain systems fairly. …”
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State of charge estimation for lithium‐ion batteries based on square root sigma point Kalman filter considering temperature variations by Davoud Mahboubi, Iraj Jafari Gavzan, Mohammad Hassan Saidi, Naghi Ahmadi

“…The comparison results indicate the error of the proposed algorithm is about 0.02 under the most test conditions.…”
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Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter by S. N. Naikwad, S. V. Dudul

“…The standard back propagation algorithm with momentum term has been proposed in this model. …”
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Distributed Joint Cluster Formation and Resource Allocation Scheme for Cooperative Data Collection in Virtual MIMO-Based M2M Networks by Xi Luan, Jianjun Wu, Yuxin Cheng, Haige Xiang

“…Since the optimization problem on this issue is an NP-hard problem, a feasible joint scheme for the cluster formation and resource allocation is proposed in this paper, which is carried out via coalition formation game with a distributed algorithm. This scheme can reduce the complexity while keeping an attractive performance. …”
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A Study of Deep Neural Network Controller-Based Power Quality Improvement of Hybrid PV/Wind Systems by Using Smart Inverter by Adel Ab-BelKhair, Javad Rahebi, Abdulbaset Abdulhamed Mohamed Nureddin

“…The main objective of this paper is to propose a new algorithm that is based on deep neural network (DNN) and maximum power point tracking (MPPT), which was simulated in a MATLAB environment for photovoltaic (PV) and wind-based power generation systems. …”
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