Sugarcane leaf disease classification using deep neural network approach by Saravanan Srinivasan, S. M. Prabin, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Suresh Kulandaivelu, Mohd Asif Shah

“…Methods In order to identify the diseases in sugarcane leaves, this study used EfficientNet architectures along with other well-known convolutional neural network (ConvNet) models such as DenseNet201, ResNetV2, InceptionV4, MobileNetV3 and RegNetX. …”
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Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation by Lana Wang, Zhenyu Yang, Zhenyu Yang, Dominic LaBella, Zachary Reitman, John Ginn, Jingtong Zhao, Justus Adamson, Kyle Lafata, Kyle Lafata, Kyle Lafata, Evan Calabrese, John Kirkpatrick, Chunhao Wang

“…The capability to quantify uncertainty makes SPU-Net a more advanced and informative tool for segmentation, without sacrificing performance.…”
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Super-Resolution of Landsat-8 Land Surface Temperature Using Kolmogorov–Arnold Networks with PlanetScope Imagery and UAV Thermal Data by Mahdiyeh Fathi, Hossein Arefi, Reza Shah-Hosseini, Armin Moghimi

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Farmer-veterinarian communication during herd health visits on dairy farms in Flanders, Belgium by Linda Dorrestein, Caroline Ritter, Ellen de Jong, Jannet de Jonge, Jolanda Jansen, Sarne De Vliegher, Geert Vertenten, Herman W. Barkema

“…The CCG communication processes “History taking,” “Presenting information,” and “Safety net and follow-up” were most prevalent. …”
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Advanced Zero-Shot Learning (AZSL) Framework for Secure Model Generalization in Federated Learning by Muhammad Asif, Surayya Naz, Faheem Ali, Amerah Alabrah, Abdu Salam, Farhan Amin, Faizan Ullah

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The undercounting of Indigenous Māori imprisoned by the New Zealand carceral state: a national record study by Paula Toko King, Frederieke Sanne Petrović-van der Deen, Melissa McLeod, Ricci Harris, Cheryl Davies, Donna Cormack, Tristram Ingham, Bernadette Jones, Bridget Robson, Natalie Paki Paki, Gabrielle Baker, Belinda Tuari-Toma, Jeannine Stairmand, Marama Cole, Tīria Pehi, Julia Carr, Christopher Kemp, Marshall H. Chin, Ruth Cunningham

“…We compared counts and proportions of Māori using two sources of ethnicity information; Corrections and IDI’s core data. Within this cohort, we compared self-identified ethnicity from the 2018 Census with ethnicity recorded in Corrections data available in the IDI (via individual linkage), to assess levels of match between datasets and calculate net undercount. …”
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Multi-Neighborhood Sparse Feature Selection for Semantic Segmentation of LiDAR Point Clouds by Rui Zhang, Guanlong Huang, Fengpu Bao, Xin Guo

“…Finally, a multi-neighborhood feature fusion strategy was developed that combines the attention mechanism to fuse the local features of different neighborhoods and obtain global features with fine-grained information. Taking S3DIS and ScanNet v2 datasets, we evaluated the feasibility and effectiveness of SFDGNet by comparing it with six typical semantic segmentation models. …”
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Electric motor modeling, analysis, and design for E-mobility applications: A state of the art by Lourembam Ranjita Devi, Sreenu Sreekumar, Rohit Bhakar, Dileep G., Sanjeevikumar Padmanaban

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Using convolutional neural networks to count parrot nest‐entrances on photographs from the largest known colony of Psittaciformes by Gabriel L. Zanellato, Gabriel A. Pagnossin, Mauricio Failla, Juan F. Masello

“…For this, we used three CNN architectures, U‐Net, ResUnet, and DeepLabv3. The U‐Net architecture showed the best performance, counting a mean of 59,842 Burrowing Parrot nest‐entrances across the colony, with a mean absolute error of 2.7 nest‐entrances over the testing patches, measured as the difference between actual and predicted counts per patch. …”
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Ensemble genetic and CNN model-based image classification by enhancing hyperparameter tuning by Wajahat Hussain, Muhammad Faheem Mushtaq, Mobeen Shahroz, Urooj Akram, Ehab Seif Ghith, Mehdi Tlija, Tai-hoon Kim, Imran Ashraf

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Applying Machine Learning for Sustainable Farm Management: Integrating Crop Recommendations and Disease Identification by P. Ankit Krishna, Neelamadhab Padhy, Archana Patnaik

“…Plant diseases were accurately classified using state-of-the-art convolutional neural networks (CNNs), such as VGG16, ResNet50, and EfficientNetV2, based on visual signals including leaf color and texture. …”
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A Novel Hybrid Model for Automatic Non-Small Cell Lung Cancer Classification Using Histopathological Images by Oguzhan Katar, Ozal Yildirim, Ru-San Tan, U Rajendra Acharya

“…This model processes deep, textural and contextual features obtained by using EfficientNet-B0, local binary pattern (LBP) and vision transformer (ViT) encoder as feature extractors, respectively. …”
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DEFERRED INCOME TAX: IMPACT ON FINANCIAL AND TAX REPORTING (THE PRACTIСE OF UKRAINE AND GERMANY) by O. Malyshkin, S. Rohoznyi, O. Yarmolitska, Yu. Ostapenko

“…The conclusions are made about the importance of determining of Deferred tax liabilities and Deferred tax assets, which directly affects the amount of net profit. The result of the study was confirmation of the hypothesis concerning different orientation of norms of the legal documents on the display of information in the forms of the financial and tax reporting. …”
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How to Learn More? Exploring Kolmogorov–Arnold Networks for Hyperspectral Image Classification by Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Bing Lu, Pedram Ghamisi

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Channel-Dependent Multilayer EEG Time-Frequency Representations Combined with Transfer Learning-Based Deep CNN Framework for Few-Channel MI EEG Classification by Ziang Liu, Kang Fan, Qin Gu, Yaduan Ruan

“…This study highlights the potential of CDML-EEG-TFR and the EfficientNet-based transfer learning strategy in few-channel EEG signal classification, laying a foundation for practical applications and further research in medical and sports fields.…”
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Determinants of farm profit among cassava-based farming households in Osun State Nigeria: robust estimation approach by Ayodeji Ogunleye, Adewale Lukman, Hassan Ogunwemimo, Victoria Tanimonure, Emad Ismail, Fuad Awwad, Oluseyi Ajayi

“…The Ordinary Least Squares (OLS) method is widely adopted in studies estimating net profit generation among farmers, despite its strong tendency to produce misleading estimates, particularly when one or more fundamental assumptions are violated. …”
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FLEM-XAI: Federated learning based real time ensemble model with explainable AI framework for an efficient diagnosis of lung diseases by Sivan Durga, Esther Daniel, Surleese Seetha, Vijaya Kumar Reshma, Vasily Sachnev

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Artificial intelligence with feature fusion empowered enhanced brain stroke detection and classification for disabled persons using biomedical images by Mohammed Alsieni, Khaled H. Alyoubi

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SDA-Mask R-CNN: An Advanced Seabed Feature Extraction Network for UUV by Yao Xiao, Dongchen Dai, Hongjian Wang, Chengfeng Li, Shaozheng Song

“…First, we introduce a Structural Synergistic Group-Attention Residual Network (SSGAR-Net) that integrates group convolution with an enhanced convolutional block attention mechanism, complemented by a layer-skipping architecture for optimized information flow and redundancy verification for computational efficiency. …”
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Reproductive Biology and Spawning Patterns of Polynemus melanochir: Implications for Conservation and Population Management by Lam Thi Thao Vo, Anh Ngoc Tran, Tran Thi Huyen Lam, Quang Minh Dinh, Gieo Hoang Phan, Ton Huu Duc Nguyen

“…Specimens were caught with various fishing gears (trawl net and gill net) and ranged in size from 10.8 to 27.5 cm (18.8 ± 0.2 SE), while their weights varied between 8.05 and 132.37 g (45.06 ± 1.76 SE). …”
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