The Constitution of Kabale University Academic Staff Association (KABASA) by Kabale University

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PUBLIC AWARENESS OF DEPOSIT INSURANCE AND INVESTOR COMPENSATION SCHEMES IN BULGARIA by Irina Kazandzhieva, Elena Ralinska

“… The purpose of deposit insurance and investor compensation schemes is to protect the clients of banks and investment intermediaries by providing compensation in the case of unavailability of clients’ deposits or assets. Generally, knowledge about the activities of both schemes is rather limited by the public. …”
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Evaluation of Different Few-Shot Learning Methods in the Plant Disease Classification Domain by Alexander Uzhinskiy

“…This study evaluates different loss functions used in similarity learning, including Contrastive, Triplet, Quadruplet, SphereFace, CosFace, and ArcFace, alongside various backbone networks, such as MobileNet, EfficientNet, ConvNeXt, and ResNeXt. Custom datasets of real-life images, comprising over 4000 samples across 68 classes of plant diseases, pests, and their effects, were utilized. …”
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Universal slip detection of robotic hand with tactile sensing by Chuangri Zhao, Yang Yu, Zeqi Ye, Ziyang Tian, Yifan Zhang, Ling-Li Zeng

“…By combining frequency with time domain features, the network achieves a computation time of only 1.26 ms and an average accuracy of over 97% on both the validation and test datasets, demonstrating strong generalization capabilities. Furthermore, we validated the proposed USDConvNet-DG in real-time grasp force adjustment in real-world scenarios, showing that it can effectively improve the stability and reliability of robotic manipulation.…”
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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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Application of Discrete-time semi-Markov Model to the Stochastic forecasting of Capital assests as stock. by Nafiu, Lukman Abiodun, Patrick, Weke, Alieu Jallow, Mamadou, Carolyne, Ogutu

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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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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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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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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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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 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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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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Constitution of Kabale University Administrative Staff Association (KUADSA) by Kabale University

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Internal Audit Charter by Kabale University

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