Differential Evolution-Based End-Fire Realized Gain Optimization of Active and Parasitic Arrays by Rozita Konstantinou, Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou

“…This multi-objective optimization, underpinned by the differential evolution (DE) algorithm, uses a simple wire dipole as the unit element. …”
Get full text

Optimizing precision farming: enhancing machine learning efficiency with robust regression techniques in high-dimensional data by Nour Hamad Abu Afouna, Majid Khan Majahar Ali

“…To overcome these obstacles, reducing retraining time and resolving the complexity issue is essential for improving the machine learning algorithm’s performance, scalability, and efficiency, especially when dealing with large or high-dimensional datasets. …”
Get full text

Evaluation of a Plasmon-Based Optical Integrated Circuit for Error-Tolerant Streaming Applications by Samantha Lubaba Noor, Xuan Wu, Dennis Lin, Pol van Dorpe, Francky Catthoor, Patrick Reynaert, Azad Naeemi

“…In this work, we have designed and modeled an integrated plasmonic computing module, which operates at 200 GHz clock frequency for high-end streaming algorithm applications. Our work includes designing the individual optical components (modulator, logic gate, and photodetector) and high-speed electronic driver circuits and integrating the components considering their interactions. …”
Get full text

WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

“…In our efficient and novel framework, we integrate an oversampling strategy that uses Generative Adversarial Networks (GANs) to overcome the difficulties introduced by imbalanced datasets, and we use the Random Forest (RF) importance algorithm to select a subset of features that best represent the dataset to reduce the dimensionality of a training dataset. …”
Get full text

DFMA: an improved DeepLabv3+ based on FasterNet, multi-receptive field, and attention mechanism for high-throughput phenotyping of seedlings by Liangquan Jia, Tao Wang, Xiangge Li, Lu Gao, Qiangguo Yu, Xincheng Zhang, Shanlin Ma

“…The model generates detailed segmentation masks, capturing structures such as the embryonic shoot, axis, and root, while a seedling length measurement algorithm provides precise parameters for component development. …”
Get full text

Online Structural Health Monitoring and Parameter Estimation for Vibrating Active Cantilever Beams Using Low-Priced Microcontrollers by Gergely Takács, Ján Vachálek, Boris Rohal’-Ilkiv

“…A fault signal is generated upon its departure from a predetermined nominal tolerance band. The algorithm is implemented using automatically generated and deployed machine code on an electronics prototyping platform, featuring an economically feasible 8-bit microcontroller unit (MCU). …”
Get full text

Interpretable machine learning for predicting sepsis risk in emergency triage patients by Zheng Liu, Wenqi Shu, Teng Li, Xuan Zhang, Wei Chong

“…Model 2 consistently outperformed Model 1 across most algorithms. In Model 2, Gradient Boosting achieved the highest AUC of 0.83, followed by Extra Tree, Random Forest, and Support Vector Machine (all 0.82). …”
Get full text

Automated hip dysplasia detection using novel FlexiLBPHOG model with ultrasound images by Sefa Key, Huseyin Kurum, Omer Esmez, Abdul Hafeez Baig, Rena Hajiyeva, Sengul Dogan, Turker Tuncer

“…Information fusion through iterative majority voting (IMV) and a greedy algorithm yields 58 outcomes, from which the best is selected. …”
Get full text

Investigation of ANN Model Containing One Hidden Layer for Predicting Compressive Strength of Concrete with Blast-Furnace Slag and Fly Ash by Hai-Van Thi Mai, Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…In this investigation, an approach using the artificial neuron network (ANN), one of the most powerful machine learning algorithms, is applied to predict the compressive strength of concrete containing BFS and FA. …”
Get full text

A Radio-interferometric Imaging Method Based on the Wavelet Tight Frame by Xiaocheng Yang, Xiang You, Lin Wu, Jingye Yan, Feng Liu, Mingfeng Jiang, Junbao Zheng

“…To enhance computational efficiency, we employ the projected fast iterative soft-thresholding algorithm for solving the l _1 -norm minimization problem. …”
Get full text

Using the proximal policy optimization and prospect theory to train a decision-making model for managing personal finances by Vladyslav Didkivskyi, Dmytro Antoniuk, Tetiana Vakaliuk, Yevhen Ohinskyi

“…This article employs reinforcement learning techniques and behavioral economics to achieve this objective, thereby contributing to the advancement of practical algorithms and approaches for financial decision-making. …”
Get full text

Confirmation of Thermal Images and Vibration Signals for Intelligent Machine Fault Diagnostics by Achmad Widodo, Djoeli Satrijo, Toni Prahasto, Gang-Min Lim, Byeong-Keun Choi

“…SOM is selected due to its simplicity and is categorized as an unsupervised algorithm. Following the SOM training, machine fault diagnostics is performed by using the pattern recognition technique of machine conditions. …”
Get full text

A novel Complex q-rung orthopair fuzzy Yager aggregation operators and their applications in environmental engineering by Jabbar Ahmmad, Tahir Mahmood, Dragan Pamucar, Hafiz Muhammad Waqas

“…Furthermore, we have utilized this device algorithm in the selection of a temperature control system. …”
Get full text

An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Water... by Jun Wu, Jiangang Xu, Muqiu Lu, Haolin Ming

“…Areas most suitable for GGBI construction are located along the Ting River, showing clear continuity and concentration in the central city and Xinqiao Town.（3）The optimized placement of GGBI, based on the SWMM model and non-dominated sorting genetic algorithm (NSGA-III), effectively reduces flood damage. …”
Get full text

Joint Optimization of Regular Charging Electric Bus Transit Network Schedule and Stationary Charger Deployment considering Partial Charging Policy and Time-of-Use Electricity Price... by Xinghua Li, Tianzuo Wang, Lingjie Li, Feiyu Feng, Wei Wang, Cheng Cheng

“…A solving procedure based on the improved adaptive genetic algorithm (AGA) is further designed and a transit network at inner Anting Town, Shanghai, with 8 individual bus routes and 867 daily service trips is adopted for the model validation. …”
Get full text

A Novel Classification of Uncertain Stream Data using Ant Colony Optimization Based on Radial Basis Function by Tahsin Ali Mohammed Amin, Sabah Robitan Mahmood, Rebar Dara Mohammed, Pshtiwan Jabar Karim

“…The ant colony optimization algorithm is then used to train a recurrent neural network. …”
Get full text

UB-LSTM: A Trajectory Prediction Method Combined with Vehicle Behavior Recognition by Haipeng Xiao, Chaoqun Wang, Zhixiong Li, Rendong Wang, Cao Bo, Miguel Angel Sotelo, Youchun Xu

“…In order to make an accurate prediction of vehicle trajectory in a dynamic environment, a Unidirectional and Bidirectional LSTM (UB-LSTM) vehicle trajectory prediction model combined with behavior recognition is proposed, and then an acceleration trajectory optimization algorithm is proposed. Firstly, the interactive information with the surrounding vehicles is obtained by calculation, then the vehicle behavior recognition model is established by using LSTM, and the vehicle information is input into the behavior recognition model to identify vehicle behavior. …”
Get full text

Scene-Aware Deep Networks for Semantic Segmentation of Images by Zhike Yi, Tao Chang, Shuai Li, Ruijun Liu, Jing Zhang, Aimin Hao

“…During the process of the actual test, the semantic segmentation dataset was firstly divided into three categories based on the scene classification algorithm. Then the semantic segmentation neural network is trained under three scenarios, and three semantic segmentation network models are obtained accordingly. …”
Get full text

Learning dynamics of muscle synergies during non-biomimetic control maps by King Chun Tse, Patricia Capsi-Morales, Cristina Piazza

“…Advanced myoelectric prostheses feature multiple degrees of freedom (DoFs) and sophisticated control algorithms that interpret user motor intentions as commands. …”
Get full text

Protocol for predicting the single-cell network-based gene activity landscape during human B cell development by Xin Huang, Xuetong Hou, Yizhen Li, Jun J. Yang, Jiyang Yu

“…We describe steps for acquiring bone marrow data; conducting single-cell downstream analysis; and leveraging the St. Jude Algorithm for the Reconstruction of Accurate Cellular Networks (SJARACNe), Network-based Bayesian Inference of Drivers (NetBID2), and single-cell Mutual Information-based Network Engineering Ranger (scMINER) algorithms for network-based analysis. …”
Get full text