Efficient diagnostic model for iron deficiency anaemia detection: a comparison of CNN and object detection algorithms in peripheral blood smear images by Navya K. T, Seemitr Verma, Keerthana Prasad, Brij Mohan Kumar Singh

“…An examination of the complete blood count (CBC) is performed to determine general health and the presence of illnesses. Accurate and timely diagnosis of IDA is essential for proper treatment, yet traditional methods can be time-consuming and costly. …”
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Variation in risk in single-species discrete-time models by Abhyudai Singh, Roger M. Nisbet

“…Simple, discrete-time, population models typically exhibit complex dynamics, like cyclicoscillations and chaos, when the net reproductive rate, $R$, is large. These traditionalmodels generally do not incorporate variability in juvenile 'risk,'' defined to be ameasure of a juvenile's vulnerability to density-dependent mortality. …”
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Automatic deep learning-based colorectal adenoma detection system and its similarities with pathologists by Xin Chen, Wei Xu, Yong Huang, Wei Jin, Gang Xu, Jing Yuan, Zhigang Song, Chunkai Yu, Shuangmei Zou, Wenmiao Wang, Xiaohui Ding, Jinhong Liu, Liwei Shao, Xiangnan Gou, Zhanbo Wang, Huang Chen, Cancheng Liu, Zhuo Sun, Calvin Ku, Yongqiang Zhang, Xianghui Dong, Shuhao Wang, Ning Lv, Huaiyin Shi

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Genomic Analysis of Abnormal DNAM Methylation in Parathyroid Tumors by Qing Li, Yonghao Li, Ximei Sun, Xinlei Zhang, Mei Zhang

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Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images by Menatalla M. R. Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen

“…DL models such as EfficientNetV2, DHS-CapsNet, and CNN-based architectures such as VGG16 and GoogleNet variations have shown remarkable performance in obtaining high levels of accuracy. …”
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Attention-enhanced optimized deep ensemble network for effective facial emotion recognition by Taimoor Khan, Muhammad Yasir, Chang Choi

“…Overall, the comprehensive experimental analysis demonstrates that the proposed network is a robust solution for biometric security, healthcare, and surveillance applications. EA-Net can accurately recognize facial emotions and exhibits strong generalization capabilities even in resource-constrained environments. …”
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A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer by Yin Li, Yin Li, Yin Li, Shuang Li, Shuang Li, Ruolin Xiao, Ruolin Xiao, Xi Li, Yongju Yi, Yongju Yi, Liangyou Zhang, Liangyou Zhang, You Zhou, You Zhou, Yun Wan, Chenhua Wei, Liming Zhong, Liming Zhong, Wei Yang, Wei Yang, Lin Yao, Lin Yao, Lin Yao

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Online Education at Voronezh State University by E. E. Chupandina, A. V. Semenikhina

“…Within the framework of this program an  informational and educational portal Voronezh. OpeNet.ru − “Voronezh  virtual university” has been established, which is a part of the mega-portal of the Russian informational and educational environment of open education  (www.OpeNet.ru). …”
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A Deep Learning-Based Approach to Garbage Detection in urban centers by Slvar Abdulazeez Arif, Abubakar M. Ashir

“…However, the model's ability to generalize to new data is demonstrated by achieving a test loss of 0.8396 and a test accuracy of 0.8602 abstracts.…”
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Cross-dataset person re-identification method based on multi-pool fusion and background elimination network by Yanfeng LI, Bin ZHANG, Jia SUN, Houjin CHEN, Jinlei ZHU

“…The existing cross-dataset person re-identification methods were generally aimed at reducing the difference of data distribution between two datasets,which ignored the influence of background information on recognition performance.In order to solve this problem,a cross-dataset person re-ID method based on multi-pool fusion and background elimination network was proposed.To describe both global and local features and implement multiple fine-grained representations,a multi-pool fusion network was constructed.To supervise the network to extract useful foreground features,a feature-level supervised background elimination network was constructed.The final network loss function was defined as a multi-task loss,which combined both person classification loss and feature activation loss.Three person re-ID benchmarks were employed to evaluate the proposed method.Using MSMT17 as the training set,the cross-dataset mAP for Market-1501 was 35.53%,which was 9.24% higher than ResNet50.Using MSMT17 as the training set,the cross-dataset mAP for DukeMTMC-reID was 41.45%,which was 10.72% higher than ResNet50.Compared with existing methods,the proposed method shows better cross-dataset person re-ID performance.…”
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Dual Embedding Transformer Network for Hyperspectral Unmixing by Huadong Yang, Chengbi Zhang

“…With the collaboration of these two embeddings, DET-Net effectively captures complex spatial and spectral dependencies to decouple the tridimensional unmixing feature representation. …”
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Answer Distillation Network With Bi-Text-Image Attention for Medical Visual Question Answering by Hongfang Gong, Li Li

“…Consequently, the accuracy of predictions for open-ended questions is generally lower than that for closed-ended questions. …”
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Different orthology inference algorithms generate similar predicted orthogroups among Brassicaceae species by Irene T. Liao, Karen E. Sears, Lena C. Hileman, Lachezar A. Nikolov

“…Results produced using OrthNet were generally outliers but could still provide detailed information about gene colinearity. …”
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MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions by Zili Chen, Yilong Peng, Jiadong Jiao, Aiguo Wang, Laigang Wang, Wei Lin, Yan Guo

“…Compared to Unet, PSP, DeepLab v3+, FCN, SegNet, UNET++, and DoubleU-Net, MD-Unet significantly improved accuracy while effectively managing model complexity, achieving optimal overall performance. …”
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Innovative Approaches of Optimization Methods Used in Geothermal Power Plants: Artificial Neural Networks and Genetic Algorithms by Özgür Özer, Harun Kemal Öztürk

“…In this study, a general description of geothermal power plants is provided, and the optimization methods used are summarized. …”
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Survey on Research Progress of Load Balancing in LTE-Advanced Heterogeneous Network by Juanxiong Xu, Yisha Liu, Lun Tang, Qianbin Chen

“…With next-generation mobile communication networks evolving to high dense, amorphous and heterogeneous network, matching the demand for business with the supply of resources has been one of the challenging problems of resource management in heterogeneous network（HetNet）, namely load balancing problem. The general load balancing problems are formulated. …”
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Notes on the Novgorod Birchbark Letters (Letters n° 22, 122, 1094, 1121) by Pavel Petrukhin

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Assessment of adverse pregnancy outcomes associated with Helicobacter pylori infection by Shao-Jing Wang, Chia-Jung Hsieh, Yun-Han Su, Li-Ling Lin, Wei-Chih Chen, Hsin-Hua Chen, Jenn-Jhy Tseng

“…We performed a multi-institutional, retrospective analysis using de-identified electronic health records from the TriNetX Research Network to compare various pregnancy outcomes in women with and those without H. pylori infection. …”
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EMNet: A Novel Few-Shot Image Classification Model with Enhanced Self-Correlation Attention and Multi-Branch Joint Module by Fufang Li, Weixiang Zhang, Yi Shang

“…This enhances model adaptability and generalization to new categories. Experimental results show that our model performs better than existing models in one-shot and five-shot tasks on mini-ImageNet, CUB-200, and CIFAR-FS datasets, which proves the proposed model to be an efficient end-to-end solution for few-shot image classification. …”
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Facilitators and barriers of alcohol goals for Latinx men hospitalized with alcohol use disorder seen by an Addiction Consult Team by Mariam S. Carson, Alein Y. Haro-Ramos, Naomi López-Solano, Carla Fernandez, Marcus Cummins, Alicia Fernandez, Triveni DeFries, Marlene Martin

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