Lncident: A Tool for Rapid Identification of Long Noncoding RNAs Utilizing Sequence Intrinsic Composition and Open Reading Frame Information by Siyu Han, Yanchun Liang, Ying Li, Wei Du

“…More and more studies have demonstrated that long noncoding RNAs (lncRNAs) play critical roles in diversity of biological process and are also associated with various types of disease. …”
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Three-Stage Bidding Strategy of Generation Company Based on Double Deep Q-Network under Incomplete Information Condition by Pengpeng YANG, Beibei WANG, Peng XU, Gaoqin WANG, Yaxian ZHENG

“…Firstly, the elements of the Markov Decision Process and action-value function in the model is defined. …”
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High-Fold 3D Gaussian Splatting Model Pruning Method Assisted by Opacity by Shiyu Qiu, Chunlei Wu, Zhenghao Wan, Siyuan Tong

“…Additionally, during the Gaussian parameter compression phase, we employ a combination of teacher–student models and vector quantization to compress the spherical harmonic coefficients. …”
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Neural Network Based on Dynamic Collaboration of Flows for Temporal Downscaling by Junkai Wang, Lianlei Lin, Yu Zhang, Zongwei Zhang, Sheng Gao, Hanqing Zhao

“…Time downscaling is one of the most challenging topics in remote sensing and meteorological data processing. Traditional methods often face the problems of high computing cost and poor generalization ability. …”
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Prediction of alkali-silica reaction expansion of concrete using explainable machine learning methods by Yasitha Alahakoon, Hirushan Sajindra, Ashen Krishantha, Janaka Alawatugoda, Imesh U. Ekanayake, Upaka Rathnayake

“…This approach provides insights into the model’s decision-making process, clarifying the complex nature of machine learning algorithms. …”
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Surface Roughness Prediction of Bearing Ring Precision Grinding Based on Feature Extraction by Chaoyu Shi, Bohao Chen, Yao Shi, Jun Zha

“…Grinding, as the most crucial finishing process for bearing rings, influences the surface integrity of bearings through the roughness of the ground surface. …”
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Biomarker identification and gene-drug interaction prediction for breast cancer using machine learning algorithms by Raja Abhavya, Pragya Pragya, Sabitha R., Kumar Brijesh, Agastinose Ronickom Jac Fredo

“…Initially, RNA-sequencing data of normal and malignant BC tissues publicly available in the NCBI GEO database were pre-processed using a standard pipeline. Further, machine learning algorithms, such as logistic regression, support vector machine, and random forest, were used to identify the differentially expressed genes (DEGs). …”
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Differential Evolution-Based End-Fire Realized Gain Optimization of Active and Parasitic Arrays by Rozita Konstantinou, Ihsan Kanbaz, Okan Yurduseven, Michail Matthaiou

“…We propose a novel approach for boosting the realized gain of arrays with enhanced directivity, utilizing both active and parasitic dipoles. The optimization process first maximizes the end-fire gain in the active array by selecting the optimal current excitation vector. …”
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Egg Microinjection for the Silkworm Bombyx mori by Hayato Yamada, Toshinobu Yaginuma, Keisuke Mase, Teruyuki Niimi

“…Germline transformation and genome editing in B. mori require the injection of vector solutions into early embryos; however, the thick eggshell of B. mori presents a significant challenge for microinjection. …”
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Machine learning in subsurface physical properties and lithofacies prediction in a mining context by A. Balaguera, M. Torné, R. Carbonell, A. Martí, J. Vergés, M. J. Jurado, P. Sánchez-Pastor, A. Farci, D. Davoise, S. Rodríguez

“…A robust quality control process, aided by Machine Learning models (ML), refined the PPR data, ensuring accuracy and reliability. …”
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Network analysis of aging acceleration reveals systematic properties of 11 types of cancers by Xiaoqiong Xia, Mengyu Zhou, Hao Yan, Sijia Li, Xianzheng Sha, Yin Wang

“…The DNAm aging scores were calculated using the Support Vector Machine regression model. The DNAm aging scores of cancers revealed significant aging acceleration compared to adjacent normal tissues. …”
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A Developed LSTM-Ladder-Network-Based Model for Sleep Stage Classification by Ruichen Li, Bei Wang, Tao Zhang, Takenao Sugi

“…Several features are extracted for each epoch and combined with the following epochs to form a cross-epoch vector. The long short-term memory (LSTM) network is added into the basic ladder network (LN) to learn the sequential information of adjacent epochs. …”
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Efficient encrypted image retrieval in IoT-cloud with multi-user authentication by Mustafa A Al Sibahee, Songfeng Lu, Zaid Ameen Abduljabbar, Ayad Ibrahim, Zaid Alaa Hussien, Keyan Abdul-Aziz Mutlaq, Mohammed Abdulridha Hussain

“…Our index construction process ensures that stored data and trapdoors are kept private. …”
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Filter-Based Feature Selection Using Information Theory and Binary Cuckoo Optimisation Algorithm by Ali Muhammad Usman, Umi Kalsom Yusof, Maziani Sabudin

“…Dimensionality reduction is among the data mining process that is used to reduce the noise and complexity of features in various datasets. …”
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Rolling Bearing Fault Diagnosis Method Based on Improved Variational Mode Decomposition and Information Entropy by Wen FAN, Lian GE, Xiaoting XIAO, Fangji GAN, Xin LAI, Hongxia DENG, Qi HUANG

“…However, VMD has the problem of parameter selection, which directly affects the performance of VMD processing, and causes mode aliasing. Therefore, a rolling bearing fault diagnosis method based on improved VMD is proposed. …”
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Innovative pitcher-shaped antenna with dual notches on a flexible leather substrate for c-band communication by Anurag Saxena, Raghav Agarwal, Vinod Kumar Singh, Ramesh Kumar Verma, Ratnesh Tiwari

“…There is a pitcher-shaped radiating element which is designed with a defective ground. The process known as microstrip linefeed is utilized in order to provide the power in antenna. …”
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Thermal error modeling of slant bed CNC lathe spindle based on BiLSTM with data augmentation and grey wolf optimizer algorithm by Musab Alataiqeh, Hu Shi, Qiangqiang Qu, Xuesong Mei, Haitao Wang

“…Experimental data are processed using fuzzy c-means clustering and grey relational analysis, which leads to the identification of four critical temperature-sensitive points. …”
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Near Infrared Spectroscopy Based on Supervised Pattern Recognition Methods for Rapid Identification of Adulterated Edible Gelatin by Hao Zhang, Haifeng Sun, Ling Wang, Shun Wang, Wei Zhang, Jiandong Hu

“…The spectral data obtained from a total of 144 samples consisting of six kinds of adulterated gelatin gels with different mixture ratios were processed with multiplicative scatter correction (MSC), Savitzky–Golay (SG) smoothing, and min-max normalization. …”
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VE-GCN: A Geography-Aware Approach for Polyline Simplification in Cartographic Generalization by Siqiong Chen, Anna Hu, Yongyang Xu, Haitao Wang, Zhong Xie

“…Polyline simplification is a critical process in cartographic generalization, but the existing methods often fall short in considering the overall geographic morphology or local edge and vertex information of polylines. …”
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Analytical modeling method for electromagnetic linear actuators considering end effects by Yuxin LI, Bo LI, Wenqing GE, Jiayu LU, Jiewei CHEN

“…This method can effectively consider the influence of the end cap on the magnetic field distortion, which provides theoretical reference for solving the electromagnetic characteristics of the electromagnetic linear actuator quickly and accurately, optimizing the structural parameters and the control process.…”
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