The Steinzeitpark Dithmarschen (DE): Concept and Development of a Visitor Oriented Educational Centre for Sustainable Development by Rüdiger Kelm

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A new species of Pleurothallis (Pleurothallidinae, Orchidaceae) from the historic sanctuary of Machupicchu, Perú by Alexander Damián-Parizaca, Marco Federico Monteros, Daxs Coayla Rimachi, Joseph Walston, Nicole Mitidieri-Rivera

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Study on the Preprocessing Method of Rolling Bearing Signal based on LFK and Entropy Difference Spectrum Criterion by Yu He, Li Hongru, Sun Jian, Xu Baohua

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Design of the Boys Hostel at Kabale University. by Nuwagaba, Happiness

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Development of Tandem Ion Mobility Spectrometry with High-voltage Fragmentation Unit at Atmospheric Pressure for Explosives Detection by Kang-yi LIU, Tian-xin XIAN, Ling-feng LI, Yun-jing ZHANG, Xing-li HE, Peng LI

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Tree community, vegetation structure and aboveground carbon storage in Atlantic tropical forests of Cameroon by Jean Louis Fobane, Jules Christian Zekeng, Cédric Djomo Chimi, Jean Michel Onana, André Paul Ebanga, Léonnel Djoumbi Tchonang, Ameline Clarance Talla Makoutsing, Marguerite Marie Mbolo

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FISNET: A Learnable Fusion-Based Iris Segmentation Network Improving Robustness Across NIR and VIS Modalities by Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam, Raghavendra Ramachandra

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Multi-Parameter Water Quality Inversion in Heterogeneous Inland Waters Using UAV-Based Hyperspectral Data and Deep Learning Methods by Hongran Li, Nuo Wang, Zixuan Du, Deyu Huang, Mengjie Shi, Zhaoman Zhong, Dongqing Yuan

“…This framework integrates Transformer and long short-term memory (LSTM) networks, introduces a cross-temporal attention mechanism to enhance feature correlation, and incorporates an adaptive feature fusion module for dynamically weighted integration of local and global information. The experimental results demonstrate that TL-Net markedly outperforms conventional machine learning approaches, delivering consistently high predictive accuracy across all evaluated water quality parameters. …”
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Assessment of Aquifer Vulnerability to Contamination in Khanyounis Governorate, Gaza Strip - Palestine, Using the DRASTIC Model within GIS Environment by Akram Al Hallaq, Basheer Abu Elaish

“…The model uses seven environmental parameters: Depth of water table, net Recharge, Aquifer media, Soil media, Topography, Impact of vadose zone, and hydraulic Conductivity to evaluate aquifer vulnerability. …”
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Segment Anything Model (SAM) and Medical SAM (MedSAM) for Lumbar Spine MRI by Christian Chang, Hudson Law, Connor Poon, Sydney Yen, Kaustubh Lall, Armin Jamshidi, Vadim Malis, Dosik Hwang, Won C. Bae

“…Segmentation of these tissues can provide useful quantitative information such as shape and volume. The objective of the study was to determine the performances of Segment Anything Model (SAM) and medical SAM (MedSAM), two “zero-shot” deep learning models, in segmenting lumbar IVD and VB from MRI images and compare against the nnU-Net model. …”
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Deep Learning Model for Precipitation Nowcasting Based on Residual and Attention Mechanisms by Zhan Zhang, Qingping Song, Minzheng Duan, Hailei Liu, Juan Huo, Congzheng Han

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Fusion of Multimodal Audio Data for Enhanced Speaker Identification Using Kolmogorov-Arnold Networks by Aryaman Tamotia, Dhruv Shantu Karmokar, Rethi Komal, K. Khadar Nawas, A. Shahina, A. Nayeemulla Khan

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Techno-economic and environmental assessment of grid and solar photovoltaic microgrid supply options for isolated off-grid rural communities toward sustainable and affordable elect... by Nicholas Saddari, Nana Sarfo Agyemang Derkyi, Forson Peprah, Samuel Gyamfi, Genevieve Kwarteng Donkor

“…Two supply options (19.5 km grid extension and 746.1 kWp solar PV microgrid) were evaluated for technical feasibility using geographical information system survey and economic viability using the net present value, internal rate of return, discounted payback period and profitability index. …”
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Bringing Intelligence to the Edge for Structural Health Monitoring: The Case Study of the Z24 Bridge by Ali Dabbous, Riccardo Berta, Matteo Fresta, Hadi Ballout, Luca Lazzaroni, Francesco Bellotti

“…A fundamental step concerns the identification of the best tools to extract meaningful information from the vibrational raw signals. To this end, we study the application of two convolutional neural network architectures that have emerged in the literature for efficient feature extraction from time series, namely WaveNet and MINImally RandOm Convolutional KErnel Transform (MiniRocket). …”
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Multi-Objective Optimization of Blockage Design Parameters Affecting the Performance of PEMFC by OEM-AHP-EWM Analysis by Hongbo Ji, Quan Yuan, Xiaoyong Zhu, Nenad Janković, Xiaoping Chen

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Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approach... by Tathagat Banerjee, Prachi Chhabra, Manoj Kumar, Abhay Kumar, Kumar Abhishek, Mohd. Asif Shah

“…Comparative experiments with the state-of-the-art models, including VGG19, MobileNet, and NASNet, were carried out, and ablation studies proved the effectiveness of NASNet incorporation. …”
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A Novel Two-Stream Network for Few-Shot Remote Sensing Image Scene Classification by Yaolin Lei, Yangyang Li, Heting Mao

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Exploring Transfer Learning for Anthropogenic Geomorphic Feature Extraction from Land Surface Parameters Using UNet by Aaron E. Maxwell, Sarah Farhadpour, Muhammad Ali

“…We also explored the use of pre-trained ImageNet parameters and initializing models using parameters learned from the other mapping task investigated. …”
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Efficient Wheat Disease Identification Using Hybrid Swin-SHARP Vision Model by Waqar Khalid, Yazeed Alkharijah, Syed Muhammad Usman, Shehzad Khalid

“…The proposed model outperformed state-of-the-art existing models, including CNN-CGLCM-HSV-SVM, GhostNet V2, ResNet 50, MobileNet V2–VGG-16, CNN-CGL CM-HSV-SVM, and Swin Transformer by 4.8%, 1.76%, 1.2%, 13.6%, 4.8%, and 1.4% respectively, on the YELLOW-RUST-19 dataset. …”
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Image-Level Anti-Personnel Landmine Detection Using Deep Learning in Long-Wave Infrared Images by Jun-Hyung Kim, Goo-Rak Kwon

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