Enhanced Comparative Analysis of Pretrained and Custom Deep Convolutional Neural Networks for Galaxy Morphology Classification by Tram Le, Nickson Ibrahim, Thu Nguyen, Thanyaporn Noiplab, Jungyoon Kim, Deepshikha Bhati

“…Our results indicate that the custom model achieves an accuracy of 67%, while the ResNet50 and EfficientNetB5 models achieve 80 and 87% accuracy, respectively. …”
Get full text

chromo-thermodynamics, thermochemical waves, Joule-Thomson expansion, dual quantum isomorphism, global warming, astrophysics by Ayman Hamdy KASSEM, Hamdy Ayman HAMDY

“…The proposed approach leverages the power of convolutional neural networks (CNNs) to imitate the visual perception and navigation abilities of homing pigeons, enabling the vehicle to navigate using solely real- time visual data with limited or no GPS information. Two pre-trained CNN’s (SqueezeNet and GoogLeNet) are selected and re-trained with Google Maps imagery, enabling them to efficiently learn and generalize from the diverse visual attributes present in the map. …”
Get full text

A physically consistent dataset of water-energy-carbon fluxes across the Soil-Plant-Atmosphere Continuum by Yunfei Wang, Yijian Zeng, Fakhereh Alidoost, Bart Schilperoort, Zengjing Song, Danyang Yu, Enting Tang, Qianqian Han, Zhunqiao Liu, Xiongbiao Peng, Chao Zhang, Bas Retsios, Serkan Girgin, Xiaoliang Lü, Qiting Zuo, Huanjie Cai, Qiang Yu, Christiaan van der Tol, Zhongbo Su

Get full text

DualCMNet: a lightweight dual-branch network for maize variety identification based on multi-modal feature fusion by Xinhua Bi, Hao Xie, Ziyi Song, Jinge Li, Chang Liu, Xiaozhu Zhou, Helong Yu, Chunguang Bi, Ming Zhao

“…Additionally, existing multimodal methods face high computational complexity, making it difficult to balance accuracy and efficiency.MethodsBased on multi-modal data from 11 maize varieties, this paper presents DualCMNet, a novel dual-branch deep learning framework that utilizes a one-dimensional convolutional neural network (1D-CNN) for hyperspectral data processing and a MobileNetV3 network for spatial feature extraction from images. …”
Get full text

Dry fruit image classification using stacking ensemble model by Maheen Islam, Mujahidul Islam, Alfe Suny, Abdullah Al Rafi, Abdullahi Chowdhury, Mohammad Manzurul Islam, Saleh Masum, Md Sawkat Ali, Taskeed Jabid, Md Mostofa Kamal Rasel

Get full text

Copper Stress Levels Classification in Oilseed Rape Using Deep Residual Networks and Hyperspectral False-Color Images by Yifei Peng, Jun Sun, Zhentao Cai, Lei Shi, Xiaohong Wu, Chunxia Dai, Yubin Xie

Get full text

A Physics-Enhanced Network for Predicting Sequential Satellite Images of Typhoon Clouds by Jiawei Yuan, Liling Zhao, Runling Yu, Xiaoqin Lu, Min Xia, Yi Liu, Yuru Wang, Xinyue Wang

“…Sequential satellite imagery of typhoon clouds, which is rich in spatiotemporal information, plays a critical role in understanding their formation, development, and evolutionary dynamics. …”
Get full text

Lightweight Attention-Based CNN Architecture for CSI Feedback of RIS-Assisted MISO Systems by Anming Dong, Yupeng Xue, Sufang Li, Wendong Xu, Jiguo Yu

“…To address this challenge, this paper proposes LwCSI-Net, a lightweight autoencoder network specifically designed for RIS-assisted multiple-input single-output (MISO) systems, aiming to achieve efficient and low-complexity CSI feedback. …”
Get full text

齿轮轴类零件工艺决策系统的研究 by 李军利, 葛正浩, 王庆水

Get full text

Predicting housing price, housing density, and green area coverage from combined satellite and street view imagery using deep learning by Ana Beatriz de Figueiredo Oliveira, Mauro Castelli, Esra Suel

“…Focusing on Lisbon, a European city facing rising housing prices, this research used EfficientNetB0, a pre-trained model originally used for object recognition on the ImageNet dataset, which successfully generalized its learning to interpret urban imagery. …”
Get full text

Ripe Tomato Detection Algorithm Based on Improved YOLOv9 by Yan Wang, Qianjie Rong, Chunhua Hu

Get full text

Comparison of Deep and Machine Learning Approaches for Quebec Tree Species Classification Using a Combination of Multispectral and LiDAR Data by Omid Reisi Gahrouei, Jean-François Côté, Philippe Bournival, Philippe Giguère, Martin Béland

“…Accessing tree species information is required for making appropriate decisions in forest management. 3D photo-interpretation using high spatial resolution aerial imagery is used to provide information on tree species in the province of Quebec. …”
Get full text

AI-Driven Non-Invasive Diagnosis of Diverse Medical Conditions Through Nail Image Analysis with High-Performance Ensemble Classifier by Abeer Alshiha, Wai Woo

Get full text

局域波互信息降噪在齿轮箱故障诊断中的应用 by 都衡, 潘宏侠

Get full text

Before the Institutionalization of Sport in France by Laurent-Sébastien Fournier

Get full text

Deep learning-based potato leaf disease classification and severity assessment by Tadesse Assefa Dame, Gashaw Bekele Adera, Dagne Walle Girmaw

Get full text

BDHerbalPlants: augmented and curated herbal plants image dataset for classificationMendeley Data by Sunzil Khandaker, Md Mizanur Rahman

Get full text

The buried giant: Construction materials shape the environmental footprint of buildings by Rolf Frischknecht

“…Several aspects will be covered such as information sources, modelling and methodology, environmental impacts (pollutants and resources) covered in the LCIs, IT resources and solutions, and information policies.…”
Get full text