Using Multioutput Learning to Diagnose Plant Disease and Stress Severity by Gianni Fenu, Francesca Maridina Malloci

“…The deep learning approach considers five pretrained CNN architectures, namely, VGG-16, VGG-19, ResNet50, InceptionV3, MobileNetV2, and EfficientNetB0, as feature extractors to classify three diseases and six severity levels. Computational experiments are conducted to evaluate the model on the DiaMOS Plant dataset, a self-collected dataset in the field. …”
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Modeling and Experimental Validation of the Intrinsic SNR in Spin Qubit Gate-Based Readout and Its Impacts on Readout Electronics by Bagas Prabowo, Jurgen Dijkema, Xiao Xue, Fabio Sebastiano, Lieven M. K. Vandersypen, Masoud Babaie

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Embedding With Preservation of Semantics of the Original Data by M. E. Vatkin, D. A. Vorobey, M. V. Yakovlev, M. G. Krivova

“…Working with them can be computationally inefficient, and often leads to overfitting; therefore, the data dimension reduction algorithms are used, one of which is auto encoders. …”
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Neutrosophic Z-Number and HyperSoft for Integrated Energy Supply System Performance Inference of Solar Energy and Cogenerations by Weibin Wang, Chaofei Nie, Kang Li, Jianfeng Man

“…So, this study proposes a decision-making approach to evaluate The Energy Supply System Performance of Solar Energy and Cogenerations. …”
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An Efficient License Plate Detection Approach Using Lightweight Deep Convolutional Neural Networks by Hoanh Nguyen

“…In the detection network, a light head structure based on fully connected layers is employed to further reduce the computational cost of the model. In experiments, floating point operations and detection ratio are used to evaluate the efficient of the proposed method. …”
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MSEA-Net: Multi-Scale and Edge-Aware Network for Weed Segmentation by Akram Syed, Baifan Chen, Adeel Ahmed Abbasi, Sharjeel Abid Butt, Xiaoqing Fang

“…To address these limitations, we propose the Multi-Scale and Edge-Aware Network (MSEA-Net), a lightweight and efficient deep learning framework designed to enhance segmentation accuracy while maintaining computational efficiency. Specifically, we introduce the Multi-Scale Spatial-Channel Attention (MSCA) module to recalibrate spatial and channel dependencies, improving local–global feature fusion while reducing redundant computations. …”
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Charge Diffusion and Repulsion in Semiconductor Detectors by Manuel Ballester, Jaromir Kaspar, Francesc Massanés, Alexander Hans Vija, Aggelos K. Katsaggelos

“…The present work evaluates these two approaches and proposes a novel Monte Carlo technique that offers higher accuracy in exchange for increased computational time. …”
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A machine learning framework for predicting healthcare utilization and risk factors by Yead Rahman, Prerna Dua

“…., logistic regression, extreme gradient boosting (XGBoost), adaptive boosting (AdaBoost), random forest, decision tree, artificial neural networks (ANN), and naïve bayes, were evaluated based on predictive performance, computational efficiency, and feature importance. …”
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A preliminary study of fecundity of whiting, Merlangius merlangus euxinus (Linnaeus, 1758) in coast of Tirebolu (Eastern Black Sea) by Burcu Taylan, Sule Gurkan, Ertan Taskavak, Arzu Aydın Uncumusaoglu

“…Total fecundity, total oocytes number in the ovary were computed with the formula F=(n×G)/g. The total length-weight values were 12.6-23.3 cm (mean 17.08±2.12) and 15.59-95.72 g (mean 41.07 ± 16.75), respectively, and total length-weight relationship was computed as W=0.0073L3.024 (R2=0.94) for the 70 fishes evaluated. …”
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A Comparative Study of YOLO, SSD, Faster R-CNN, and More for Optimized Eye-Gaze Writing by Walid Abdallah Shobaki, Mariofanna Milanova

“…Using this dataset, we evaluated the performance of several computer vision algorithms across three key areas. …”
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GeoAT: Geometry-Aware Attention Feature Matching Network by Yan Li, Yingdan Wu, Yang Ming, Yong Zhang, Zhesheng Cheng

“…Attention mechanisms have achieved remarkable success in the field of computer vision. However, in the context of image matching with large deformations, attention often suffers from divergence issues. …”
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Low-complexity detection for MIMO visible light communication system using generalized spatial modulation by Wei-Chiang Wu, Gan-Lin Chen

“…The performance assessment, including the computation load, correct identification probability and the average symbol error rate (SER), is comprehensively evaluated by computation simulation. …”
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Ultimate Compression: Joint Method of Quantization and Tensor Decomposition for Compact Models on the Edge by Mohammed Alnemari, Nader Bagherzadeh

“…This paper proposes the “ultimate compression” method as a solution to the expansive computation and high storage costs required by state-of-the-art neural network models in inference. …”
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Advanced Object Detection for Maritime Fire Safety by Fazliddin Makhmudov, Sabina Umirzakova, Alpamis Kutlimuratov, Akmalbek Abdusalomov, Young-Im Cho

“…The proposed model is evaluated against the baseline DETR and YOLOv5 variants, showing significant improvements in Average Precision (AP), especially in detecting small and medium-sized objects. …”
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A New Method for Spectral Wavelength Selection Based on Multiple Linear Regression Combined with Ant Colony Optimization and Genetic Algorithm by Qing Huang, Heru Xue, Jiangping Liu, Xinhua Jiang

“…Wavelength selection is one of the key steps in quantitative spectral analysis, which reduces the computation time while also improving the prediction accuracy of the model. …”
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A novel deep sequential learning architecture for drug drug interaction prediction using DDINet by Anindya Halder, Biswanath Saha, Moumita Roy, Sukanta Majumder

“…This architecture may act as an effective computational technique for drug drug interaction with respect to mechanism which may act as a complementary tool to reduce costly wet lab experiments for DDI prediction and classification.…”
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A seasonal Integer-Valued AR(1) model with delaporte marginal distribution by Maryam Shalbaf, Gholamali Parham, Rahim Chinipardaz

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Improvement of Wild Horse Optimizer Algorithm with Random Walk Strategy (IWHO), and Appointment as MLP Supervisor for Solving Energy Efficiency Problem by Şahiner Güler, Erdal Eker, Nejat Yumuşak

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HLAIIPred: cross-attention mechanism for modeling the interaction of HLA class II molecules with peptides by Mojtaba Haghighatlari, Nicholas Marze, Robert Seward, Andrew Ciarla, Rachel Hindin, Jennifer Calderini, Benjamin Keenan, Santosh Dhule, Sarah Hall-Swan, Timothy P. Hickling, Eric Bennett, Brajesh Rai, Sophie Tourdot

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Hybrid Attention-Enhanced Xception and Dynamic Chaotic Whale Optimization for Brain Tumor Diagnosis by Aliyu Tetengi Ibrahim, Ibrahim Hayatu Hassan, Mohammed Abdullahi, Armand Florentin Donfack Kana, Amina Hassan Abubakar, Mohammed Tukur Mohammed, Lubna A. Gabralla, Mohamad Khoiru Rusydi, Haruna Chiroma

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