Empowering Smallholder Farmers with UAV-Based Early Cotton Disease Detection Using AI by Halimjon Khujamatov, Shakhnoza Muksimova, Mirjamol Abdullaev, Jinsoo Cho, Cheolwon Lee, Heung-Seok Jeon

“…The proposed model integrates an EfficientNetV2-S backbone with a Dual-Attention Feature Pyramid Network (DA-FPN) and a novel Early Symptom Emphasis Module (ESEM) to enhance sensitivity to subtle visual cues such as chlorosis, minor lesions, and texture irregularities. …”
Get full text

Enhancing Genomic Data Representation Through BERT-LSTM Hybrid Architecture by Kyeong Ho Kim, Minji Kim, Sohui Kim, Jong-Min Lee

“…We introduce a hybrid architecture that combines Bidirectional Encoder Representations from Transformers (BERT) with Long Short-Term Memory (LSTM) networks to generate comprehensive and compact gene embeddings. …”
Get full text

Enhancing Visual Place Recognition With Hybrid Attention Mechanisms in MixVPR by Jun Hu, Jiwei Nie, Zuotao Ning, Chaolu Feng, Luyang Wang, Jingyao Li, Shuai Cheng

“…This enhancement integrates spatial saliency cues into the global image embedding, improving accuracy and reliability. We also utilize the DINOv2 visual transformer for robust feature extraction. …”
Get full text

Protocol for whole-mount preparation, clearing, and visualization of the adult zebrafish spinal cord structures by Mariana Rebocho da Costa, Ana Ribeiro, Raquel Quitéria, Dalila Neves-Silva, Leonor Saúde

“…Here, we detail the extraction and dissection of whole-mount zebrafish SCs and the optimized whole-mount immunofluorescence staining and clearing protocols for the visualization of SC structures, such as the vascular network. …”
Get full text

MPVT: An Efficient Multi-Modal Prompt Vision Tracker for Visual Target Tracking by Jianyu Xie, Yan Fu, Junlin Zhou, Tianxiang He, Xiaopeng Wang, Yuke Fang, Duanbing Chen

“…Three key components are involved in the model: a decoupled input enhancement module, a dynamic adaptive prompt fusion module, and a fully connected head network module. The decoupled input enhancement module enhances input representations via positional and type embedding. …”
Get full text

Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries by Jutarut Chaoraingern, Arjin Numsomran

“…This study proposes an end-to-end TinyML-based framework that integrates embedded sensor data fusion with an optimized feedforward neural network (FFNN) model for efficient RUL estimation under strict hardware limitations. …”
Get full text

Temporal GeneTerrain: advancing precision medicine through dynamic gene expression visualization by Ehsan Saghapour, Ehsan Saghapour, Rahul Sharma, Delower Hossain, Delower Hossain, Kevin Song, Kevin Song, Zhandos Sembay, Zhandos Sembay, Jake Y. Chen, Jake Y. Chen

“…We then constructed a protein-protein interaction network for these genes and embedded it in two dimensions using the Kamada-Kawai force-directed algorithm. …”
Get full text

An AI-Based Horticultural Plant Fruit Visual Detection Algorithm for Apple Fruits by Bin Yan, Xiameng Li, Rongshan Yan

Get full text

Increasing uptake of self-management education programmes for type 2 diabetes in primary care: the Embedding research programme including an RCT by Melanie J Davies, Shona Agarwal, Danielle H Bodicoat, Alan Brennan, Simon Dixon, Helen Eborall, Agnieszka Glab, Laura J Gray, Michelle Hadjiconstantinou, Lisa Huddlestone, Nicky Hudson, Anju Keetharuth, Kamlesh Khunti, Caroline Kristunas, Graham Martin, Alison Northern, Mike Patterson, Daniel Pollard, Rebecca Pritchard, Sally Schreder, Jane Speight, Bernie Stribling, Jackie Sturt, Jess Turner, Christina Weis

“…Workstream 2: pilot Embedding Package to assess feasibility and suitability of components; Assess feasibility of collecting data with sufficient accuracy and completeness; refine Embedding Package. …”
Get full text

Enhanced nuclear information fusion and visual transformer for pathological breast cancer image classification by Qinyi Zhang, Honglei Gao, Wenhao Li, Zhipeng Xu, Ting Ouyang, Zongyun Gu

“…Subsequently, wavelet positional embedding within the EVT model is leveraged to precisely capture key information embedded within the images. …”
Get full text

Trabecular-bone mimicking osteoconductive collagen scaffolds: an optimized 3D printing approach using freeform reversible embedding of suspended hydrogels by Michael G. Kontakis, Marie Moulin, Brittmarie Andersson, Norein Norein, Ayan Samanta, Christina Stelzl, Adam Engberg, Anna Diez-Escudero, Johan Kreuger, Nils P. Hailer

“…FRESH-printed collagen scaffolds displayed an intricate and fibrous 3D network, as visualized by SEM, whereas the PEGDA scaffolds had a smooth surface. …”
Get full text

Gait Recognition via Enhanced Visual–Audio Ensemble Learning with Decision Support Methods by Ruixiang Kan, Mei Wang, Tian Luo, Hongbing Qiu

Get full text

LMGDoc: Light Multigranular GNN for Efficient Document Understanding by Abdellatif Sassioui, Yasser Elouargui, Mohamed El Kamili, Rachid Benouini, El Mehdi Benyoussef, Meriyem Chergui, Mohammed Ouzzif

“…In this paper, we propose LMGDoc, a lightweight model capable of understanding and processing VRDs composed of three main components: a Feature Extractor using GloVe for text embedding and a novel layout encoding method, a Graph Constructor for representing document structures at multiple granular levels (word, region, and page), and a Graph Convolution Network (GNN). …”
Get full text

The Hybrid Modern Network Model: A Multi-Technique Framework for Comprehensive Network Analysis by Theodoros Kyriazos, Mary Poga

“…The R programming code used for the network simulations and visualizations is conceptual and demonstrates the HMNM framework. …”
Get full text

DamageScope: An Integrated Pipeline for Building Damage Segmentation, Geospatial Mapping, and Interactive Web-Based Visualization by Sultan Al Shafian, Chao He, Da Hu

“…These results are subsequently visualized through an interactive, web-based platform that facilitates spatial exploration of damage severity. …”
Get full text

A Computational Model of Attention-Guided Visual Learning in a High-Performance Computing Software System by Alice Ahmed, Md. Tanim Hossain

“…The attention-guided learning approach rewards learning with neural attentional response gain, which the network modifies via gradient descent to achieve the projected objective outputs. …”
Get full text

Developing an explainable machine learning and fog computing-based visual rating scale for the prediction of dementia progression by Zainab H. Ali, Esraa Hassan, Shimaa Elgamal, Nora El-Rashidy

Get full text

Preserving Innovation: Ensuring the Future of Today’s Scholarship by Karen L Hanson

“…New forms of scholarship contain enhancements such as embedded media and viewers, data visualizations, different approaches to version management, complex interdependent networks of supporting materials such as software and data, reader-contributed content (annotations, comments), interactive features, and nonlinear forms of navigation. …”
Get full text

Fall Detection in Q-eBall: Enhancing Gameplay Through Sensor-Based Solutions by Zeyad T. Aklah, Hussein T. Hassan, Amean Al-Safi, Khalid Aljabery

Get full text

Multi-Domain Features and Multi-Task Learning for Steady-State Visual Evoked Potential-Based Brain–Computer Interfaces by Yeou-Jiunn Chen, Shih-Chung Chen, Chung-Min Wu

“…Convolutional neural networks are separately used for time and frequency domain signals to extract the embedding features effectively. …”
Get full text