Dual-Resource Scheduling with Improved Forensic-Based Investigation Algorithm in Smart Manufacturing by Yuhang Zeng, Ping Lou, Jianmin Hu, Chuannian Fan, Quan Liu, Jiwei Hu

“…In the first stage, an improved multi-objective FBI algorithm is used to obtain the Pareto front solutions of this model, in which a hybrid real and integer encoding–decoding method is used for exploring the solution space and a fast non-dominated sorting method for improving efficiency. In the second stage, a multi-criteria decision analysis method based on an analytic hierarchy process (AHP) is used to select the optimal solution from the Pareto front solutions. …”
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Detection of Mycotoxins in Cereal Grains and Nuts Using Machine Learning Integrated Hyperspectral Imaging: A Review by Md. Ahasan Kabir, Ivan Lee, Chandra B. Singh, Gayatri Mishra, Brajesh Kumar Panda, Sang-Heon Lee

“…Mycotoxins exhibit heightened sensitivity to specific spectral bands within HSI, facilitating accurate detection. Additionally, selecting only relevant spectral features reduces ML model complexity and enhances reliability in the detection process. …”
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An Improved Strategy for Torque Ripple Reduction of Dual Three-Phase Brushless DC Motor Fed by Two Diode-Clamped, Three-Level Inverters Using Model Predictive Control by Zahra Emami, Abolfazl Halvaei Niasar

“…It has important challenges such as high torque ripple, low efficiency, vibrations, and noise that are undesirable for high power applications such as submarines. …”
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Current State of Logistics Development and Its Role in the China’s Regional Economy by Xiaomei Sun, Amangeldi Zhumadilov, Madina Myrzalieva, Avaz Kazakov, Aigerim Akmatova

“…For this, the study also considered selected statistical data that can characterize this area. …”
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Early Prediction of Remaining Useful Life for Lithium-Ion Batteries with the State Space Model by Yuqi Liang, Shuai Zhao

“…Subsequently, the top three highest correlated features are selected, and only the first 300 cycling data are used for training. …”
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Weed detection in cornfields based on improved lightweight neural network model by Haicheng Wan, Shanping Wang

“…By improving the original YOLOv4 model structure, the complexity of the original YOLOv4 model is simplified. …”
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A hybrid blockchain-based solution for secure sharing of electronic medical record data by Gang Han, Yan Ma, Zhongliang Zhang, Yuxin Wang

“…To address the inherent complexity of managing multiple blockchains, a unique cross-chain signature algorithm is introduced, based on the Boneh-Lynn-Shacham (BLS) signature aggregation technique. …”
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Accelerated design of eutectic high-entropy alloys using high-throughput phase diagram calculations and machine learning by Mingxu Wu, Bang Guan, Junfeng Wang, Shubin Wang, Chao Yang, Chuan Zhang, Da Shu, Chengbo Xiao, Baode Sun

“…Designing eutectic high-entropy alloys (HEAs) with a stable dual-phase structure is prospective for high-temperature structural materials, but remains a challenge due to the complexity of multicomponent compositional space. This study introduces a machine learning (ML) based classification model to assist the high-throughput thermodynamic calculations (HTCs), improving the efficiency by identifying eutectic, near-eutectic and non-eutectic compositions in the VNbTiTaSi system using the parameters that determine the eutectic forming ability. …”
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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture by Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis

“…The XGBoost-based model, selected mainly for allowing an in-depth analysis of feature contributions by considerably reducing the complexity of calculations, demonstrated strong performance in HAR. …”
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BER performance analysis of polar-coded FBMC/OQAM in the presence of AWGN and Nakagami-m fading channel by Tadele A. Abose, Fanuel O. Ayana, Thomas O. Olwal, Yihenew W. Marye

“…It offers several advantages over traditional orthogonal frequency-division multiplexing (OFDM) modulation, including higher spectral efficiency, lower out-of-band emission, and improved robustness to time-frequency selective channels. …”
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An Interpretable Hybrid Deep Learning Model for Molten Iron Temperature Prediction at the Iron-Steel Interface Based on Bi-LSTM and Transformer by Zhenzhong Shen, Weigang Han, Yanzhuo Hu, Ye Zhu, Jingjing Han

“…This paper proposes an interpretable hybrid deep learning model combining Bi-LSTM and Transformer to solve the complexity of temperature drop prediction. By leveraging Catboost-RFECV, the most influential variables are selected, and the model captures both local features with Bi-LSTM and global dependencies with Transformer. …”
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STRUCTURE OF PRODUCT EXPORTS OF UKRAINE: ASSESSMENT OF THE ELASTICITY OF THE PRODUCT GROUPS DYNAMICS by Anatolii O. Zadoia

“…On the contrary, goods from sections I, II, III and IV (goods related to agro-industrial complexes) have low elasticity, their export is characterized by stability. …”
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Improving the Principles of Identifying Critical Requirements for the Assembly of High-Precision Products by A. V. Nazaryev, P. Yu. Bochkarev

“…The application of this technique makes it possible to increase the reliability of the source information obtained during the implementation of an enlarged block of design procedures, as well as the validity and efficiency of identifying rational manufacturing technologies at subsequent stages of the system implementation, while providing the specified quality, accuracy of products, and reducing the complexity and cost of their manufacture.…”
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Analyzing the Efficacy of Computer-Aided Detection in Cerebral Aneurysm Diagnosis Using MRI Modality: A Review by Keerthi A. S. Pillai, Preena K. P., Madhu S. Nair

“…CNNs have proven to be a crucial component in improving the accuracy and efficiency of aneurysm detection by automatically learning features from raw imaging data, bypassing the need for manual feature extraction. …”
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Measurement and assessment of human resources in information economy: substantive and methodological aspect by Krasova Elena

“…The following weaknesses of the existing methodical base were identified: lack of a unified understanding of the category of “human resources” and some related categories, complexity of selecting indicators and indirectness of assessments, mixing different types of indicators in one measurement procedure, shift towards assessing the socio-demographic component, underestimation of feedback in the interaction of human resources with the economic, social, institutional environment, underdeveloped synthesis of traditional and digital methods. …”
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Fast Adaptive CU Partition Decision Algorithm for VVC Intra Coding by Lina Si, Wendi Zhu, Qiuwen Zhang

“…However, when the CU selects the division type, it needs to traverse all possible division types and compute the Rate-distortion (RD) cost, which greatly enhances the coding complexity. …”
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Three-Dimensional Plant Model Development Through Image Recognition by Yuya Hosoda, Ganzurkh Bilguun, Jin Oboshi, Hitoshi Goto

“…Finally, we construct a vector-search system incorporating k-means clustering and dimensionality reduction to limit the search scope and minimize computational complexity. Experimental results show that the proposed method efficiently obtains the most similar 3D model in the database, achieving a mean reciprocal rank of 0.90 and a search time of 0.003 s per query.…”
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Hybrid precoding and power allocation for mmWave NOMA systems based on time delay line arrays by Gangcan SUN, Xinli WU, Wanming HAO, Zhengyu ZHU

“…Methods:To reduce inter-user interference,an improved K-means algorithm is proposed to group users and select a cluster head for each group of users, which maximizes the correlation of user channels in the same cluster and reduces the correlation between users in different clusters as much as possible;Then,a low-complexity analog precoding is designed to maximize the array gain of the antenna based on the relevant user channel matrix composed of the cluster head set, followed by a digital precoding designed to eliminate inter-user interference with the maximum equivalent channel gain between beams using a forced-zero technique; Finally, an EE maximization problem is formed to optimize the transmit power under users'quality of services and total transmit power constraints,and a two-layer iterative algorithm is proposed for the resulting non-convex optimization problem. …”
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The effectiveness analysis of traditional and new landscape indexes in indicating flood risk of watersheds from the perspective of source-sink landscapes: A case study of Changsha,... by Lingxuan Zhang, Sheng Jiao, Jie Lu

“…Results showed that over a 40-year period, landscape fragmentation and complexity increased. The source landscapes expanded by 680.84 km2, with significant growth and aggregation, primarily in low-lying areas near watershed outlets, while the sink landscapes evolved in the opposite direction. …”
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A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions by Anna Vorontsova, Svitlana Tarasenko, Wojciech Duranowski, Arkadiusz Durasiewicz, John Soss, Artem Bilovol

“…One of the main challenges in higher education management is the complexity of resource optimization and increasing volumes of data, which limits the efficiency and accuracy of decision-making. …”
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