Identification of targets of CD8⁺ T cell responses to malaria liver stages by genome-wide epitope profiling. by Julius Clemence R Hafalla, Karolis Bauza, Johannes Friesen, Gloria Gonzalez-Aseguinolaza, Adrian V S Hill, Kai Matuschewski

“…However, the paucity of parasite-specific epitopes of CD8⁺ T cells has limited our current understanding of the mechanisms influencing the generation, maintenance and efficiency of these responses. To identify antigenic epitopes in a stringent murine malaria immunisation model, we performed a systematic profiling of H(2b)-restricted peptides predicted from genome-wide analysis. …”
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Automatic identification of slip pathways in ductile inorganic materials by combining the active learning strategy and NEB method by Jun Luo, Tao Fan, Jiawei Zhang, Pengfei Qiu, Xun Shi, Lidong Chen

“…Our computational approach consists of two key stages: first, an active learning strategy is utilized to efficiently and accurately model the interlayer slip potential energy surfaces; second, the climbing image nudged elastic band method is employed to identify minimum energy pathways, followed by comparative analysis to determine the final slip pathway. …”
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An Autism Spectrum Disorder Identification Method Based on 3D-CNN and Segmented Temporal Decision Network by Zhiling Liu, Ye Chen, Xinrui Dong, Jing Liu

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Dual discriminator GAN-based synthetic crop disease image generation for precise crop disease identification by Chao Wang, Yuting Xia, Lunlong Xia, Qingyong Wang, Lichuan Gu

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Failure mode identification and effects analysis of mobile X-ray machine using selected MADM techniques by Vikas Sisodia, Dharmalingam Ganesan, Sachin Salunkhe, Robert Čep, Emad Abouel Nasr

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Identification of human nephron progenitors capable of generation of kidney structures and functional repair of chronic renal disease by Orit Harari‐Steinberg, Sally Metsuyanim, Dorit Omer, Yehudit Gnatek, Rotem Gershon, Sara Pri‐Chen, Derya D. Ozdemir, Yaniv Lerenthal, Tzahi Noiman, Herzel Ben‐Hur, Zvi Vaknin, David F. Schneider, Bruce J. Aronow, Ronald S. Goldstein, Peter Hohenstein, Benjamin Dekel

“…After transplantation in the chick embryo, these cells—but not differentiated counterparts—efficiently formed various nephron tubule types. hNPCs engrafted and integrated in diseased murine kidneys and treatment of renal failure in the 5/6 nephrectomy kidney injury model had beneficial effects on renal function halting disease progression. …”
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Identification of the pathological subtypes of lung cancer brain metastases with multiparametric MRI radiomics: A feasibility study by Lian-Yu Sui, Shuai Quan, Li-Hong Xing, Yu Zhang, Huan Meng, Jia-Liang Ren, Jia-Ning Wang, Xiao-Ping Yin

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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…ObjectiveUAVs provide advantages such as easy control, low cost, and good performance, and efficiently perform tasks in diverse sites and complex environments. …”
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Identification and Temporal Distribution of Typical Rainfall Types Based on K-Means++ Clustering and Probability Distribution Analysis by Qiting Zhang, Jinglin Qian

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Rapid identification of tumor patients with PG-SGA ≥ 4 based on machine learning: a prospective study by Gui Qian, Huang Jiaxin, Cong minghua, Liu beijia, Li Yinfeng, Huang Guiyu, Yang Mingxue, Tang Xiaoli, Yan Hongyan

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Robust Radio Frequency Fingerprinting With Signal Denoising and Stacked Multivariate Ensemble Learning for Secure Wireless Communications by Syed Usman Ali Shah, Muhammad Usama Zahid, Syed Abuzar H Shah, Saeed Ur Rehman, Dan Komosny

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A Spider Wasp Optimizer-Based Deep Learning Framework for Efficient Citrus Disease Detection by Abisola Olayiwola, Ajibola Oyedeji, Dare Olayiwola, Olufemi Awodoye, Olukunle Oyebode

“…This paper contributes to knowledge by presenting the Spider Wasp Optimizer, a hyperparameter tuning technique for deep learning models used in the identification of agricultural diseases. …”
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A Novel ConvXGBoost Method for Detection and Identification of Cyberattacks on Grid-Connected Photovoltaic (PV) Inverter System by Sai Nikhil Vodapally, Mohd. Hasan Ali

“…For example, the proposed model is efficient with an accuracy of 99.25% compared to the 97.76% of CNN and 99.12% of DT during a DoS attack on a smart PV system. …”
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Frailty identification using a sensor-based upper-extremity function test: a deep learning approach by Mehran Asghari, Hossein Ehsani, Nima Toosizadeh

“…Our findings demonstrate that integrating UEF tasks with deep learning models provides superior frailty prediction, potentially offering a robust, efficient clinical tool. …”
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Real-Time Corn Variety Recognition Using an Efficient DenXt Architecture with Lightweight Optimizations by Jin Zhao, Chengzhong Liu, Junying Han, Yuqian Zhou, Yongsheng Li, Linzhe Zhang

“…However, variety characteristics may be mixed in actual cultivation, which increases the difficulty of identification. Deep learning classification research based on corn nodulation features can help improve classification accuracy, optimize planting management, enhance production efficiency, and promote the development of breeding and production technologies. …”
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Herbify: an ensemble deep learning framework integrating convolutional neural networks and vision transformers for precise herb identification by Farhan Sheth, Ishika Chatter, Manvendra Jasra, Gireesh Kumar, Richa Sharma

“…Additionally, the research also introduces ‘Herbify’ application, an AI-driven framework designed to identify herbs using the developed model. By directly tackling the principal obstacles in herb identification, the proposed system achieves a highly accurate and operationally viable classification mechanism. …”
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A novel approach for music genre identification using ZFNet, ELM, and modified electric eel foraging optimizer by Shuang Zhang, Zhiyong Sun, Hasan Jafari

“…The present research suggests a new method for music genre identification via integrating deep learning models with a metaheuristic algorithm. …”
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Efficiency of Using Built-In Bundles of Cogeneration Steam Turbine Condensers for Make-up Water Heating by Shempelev A.G., Suvorov D.M., Iglin P.V.

“…The program of the thermal calculation program for steam turbine condensers and a computational mathematical model of a turbine plant type T-50-130 are applied. …”
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An efficient and robust MRI-guided radiotherapy planning approach for targeting abdominal organs and tumours in the mouse. by Veerle Kersemans, John S Beech, Stuart Gilchrist, Paul Kinchesh, Philip D Allen, James Thompson, Ana L Gomes, Zenobia D'Costa, Luke Bird, Iain D C Tullis, Robert G Newman, Aurelien Corroyer-Dulmont, Nadia Falzone, Abul Azad, Katherine A Vallis, Owen J Sansom, Ruth J Muschel, Borivoj Vojnovic, Mark A Hill, Emmanouil Fokas, Sean C Smart

“…Additionally, the SK-N-SH neuroblastoma xenograft model and the transgenic KPC model of pancreatic ductal adenocarcinoma were used to demonstrate the applicability of our methods for the accurate delivery of radiation to CT-invisible abdominal tumours.…”
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Risk identification and assessment of Internet public opinion on public emergencies based on Bayesian network and association rule mining by Mengjie You, Xuwei Pan, Chuwen Zhu

“…Empirical results demonstrate that, compared with the traditional BN assessment model based on expert experience, the BN model incorporating association rules achieves a 14.4% increase in assessment accuracy and exhibits more pronounced advantages in performance metrics such as precision, recall, specificity, and F-measure. …”
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