Progressive Pruning of Light Dehaze Networks for Static Scenes by Byeongseon Park, Heekwon Lee, Yong-Kab Kim, Sungkwan Youm

Get full text

VariGAN: Enhancing Image Style Transfer via UNet Generator, Depthwise Discriminator, and LPIPS Loss in Adversarial Learning Framework by Dawei Guan, Xinping Lin, Haoyi Zhang, Hang Zhou

Get full text

Spatiotemporal changes of cultivated land utilization in black soil region, China based on geo-information Tupu by Dan Li, Guizhen Chen, Zhilong Xi, Pengkai He, Xiuwen Xin, Jiayuan Chen, Hongyu Yu, Guangqing Kang

“…The change of cultivated land mainly due to the mutual conversion between cultivated land and forest (net increase: 6024.76 km2), grassland (net increase: 734.08 km2) and construction land (net decrease: 7393. 42 km2). …”
Get full text

An innovative approach to advanced voice classification of sacred Quranic recitations through multimodal fusion by Esraa Hassan, Abeer Saber, Omar Alqahtani, Nora El-Rashidy, Samar Elbedwehy

Get full text

Research of methods of modeling of mass service enterprise by Sh. M. Jafarova, S. M. Akhmedova, A. G. Aliyeva

“…The principles of modeling systems based on the GPSS language and Petri nets are considered. Conclusion. It is advisable to use the language devices GPSS and SP, which provide information support for the activities of a mass service enterprise, modeling the structural organization and information flows.…”
Get full text

DANNET: deep attention neural network for efficient ear identification in biometrics by Deepthy Mary Alex, Kalpana Chowdary M., Hanan Abdullah Mengash, Venkata Dasu M., Natalia Kryvinska, Chinna Babu J., Ajmeera Kiran

Get full text

Wireless real-time monitoring based on triboelectric nanogenerator with artificial intelligence by Dexin Tang, Yuankai Zhou, Xin Cui, Yan Zhang

“…A RepNet-based wireless self-powered sensor system is designed by just two components with deep learning algorithm, which has simple structure and high accuracy even without integrated circuit. …”
Get full text

Why uncritical adherence to recommendations of sulfasalazine leaflet information can lead to medical error in rheumatoid arthritis? by Y V Muravyov

Get full text

A Customizable Face Generation Method Based on Stable Diffusion Model by Wenlong Xiang, Shuzhen Xu, Cuicui Lv, Shuo Wang

Get full text

Multi-scale feature fusion and feature calibration with edge information enhancement for remote sensing object detection by Lihua Yang, Yi Gu, Hao Feng

“…To address these challenges, we propose an improved EMF-DETR based on RT-DERT-ResNet-18. EMF-DETR introduces a multi-scale edge-aware feature extraction network named MEFE-Net. …”
Get full text

ResnetCPS for Power Equipment and Defect Detection by Xingyu Yan, Lixin Jia, Xiao Liao, Wei Cui, Shuangsi Xue, Dapeng Yan, Hui Cao

Get full text

MARKET MEASUREMENTS OF WINE PRODUCTION IN THE SOUTHEAST REGION by V. Perkov

Get full text

RETRACTED ARTICLE: Multiclass skin lesion classification using deep learning networks optimal information fusion by Muhammad Attique Khan, Ameer Hamza, Mohammad Shabaz, Seifeine Kadry, Saddaf Rubab, Muhammad Abdullah Bilal, Muhammad Naeem Akbar, Suresh Manic Kesavan

Get full text

Optimizing Hyperspectral Desertification Monitoring Through Metaheuristic-Enhanced Wavelet Packet Noise Reduction and Feature Band Selection by Weichao Liu, Jiapeng Xiao, Rongyuan Liu, Yan Liu, Yunzhu Tao, Tian Zhang, Fuping Gan, Ping Zhou, Yuanbiao Dong, Qiang Zhou

“…Subsequently, PSO was deployed to optimize key hyperparameters of the Random Forest algorithm and compare its performance with the ResNet-Transformer model. Our results indicate that PSO effectively automates the search for optimal WP decomposition parameters, preserving essential spectral information while efficiently reducing high-frequency spectral noise. …”
Get full text

Automatic knee osteoarthritis severity grading based on X-ray images using a hierarchical classification method by Jian Pan, Yuangang Wu, Zhenchao Tang, Kaibo Sun, Mingyang Li, Jiayu Sun, Jiangang Liu, Jie Tian, Bin Shen

Get full text

The impact of use of climate information services on smallholder welfare: Evidence from the hub of cashew production in Ghana by Camillus Abawiera Wongnaa, Osei Tawiah Frederick, Hamdiyah Alhassan, Otchere-Adu Nana Akua, Chelsea Naa Darkowaa Adu

“…The study highlights critical implications for agricultural economics, particularly in how smallholder cashew farmers access and use climate information services (CIS). Although CIS is meant to assist farmers in adapting to climate variability, this study reveals paradoxical outcomes, with users of CIS exhibiting lower asset values, net farm income, and yield, alongside greater food insecurity than non-users. …”
Get full text

Computer Vision Algorithm for the detection of fracture cracks in Oil Hardening Non-Shrinking (OHNS) die steel after machining process by Akshansh Mishra, Vijaykumar S Jatti, Nitin K Khedkar, Rahul B. Dhabale, Ashwini V Jatti

Get full text

Factors Affecting the Ups and Downs of Profit in the Food and Beverage Sub-Sector for the 2021-2023 Period by Nurul Aulia Dewi, Zahra Rossalina, Erwin Budianto

“…Information was obtained from financial reports accessed on the website www.idx.co.id. …”
Get full text

Spectrum sensing method based on residual dense network by Jianxin GAI, Xianfeng XUE, Ruixiang NAN, Jingyi WU

“…Aiming at the problem that the traditional spectrum sensing method based on convolutional neural network（CNN） did not make full use of image feature and the ability of extracting the image feature was limited by the shallow network structure， a spectrum sensing method based on the residual dense network （ResDenNet） was proposed.By adding dense connections in the traditional neural network， the information reuse of the image feature was achieved.Meanwhile， shortcut connections were employed at both ends of the dense unit to implement deeper network training.The spectrum sensing problem was transformed into the image binary classification problem.Firstly， the received signals were integrated into a matrix， which was normalized and transformed by gray level.The obtained gray level images were used as the input of the network.Then， the network was trained through dense learning and residual learning.Finally， the online data was input into the ResDenNet and spectrum sensing was implemented based on image classification.The numerical experiments show that the proposed method is superior to the traditional ones in terms of performance.When the SNR is as low as -19 dB， the detection probability of the proposed method is still high up to 0.96 with a low false alarm probability of 0.1， while a better generalization ability is displayed.…”
Get full text

Examining Canadian Hospitals’ Support for Planetary Health Through the Implementation of Green Teams and Sustainability Offices by Kalogirou MR, Baumbusch J

“…Interview transcripts were analyzed and data were summarized using thematic analysis. Demographic information was collected through the survey.Results: Three main themes were: 1) From grassroots to corporate: Green teams and sustainability offices. …”
Get full text