Forest restoration efficiency: A comparative analysis of collectively vs. individually managed forests in Nepal by Sony Baral, Saurav Lamichhane, Bir B. Khanal Chhetri, Bikash Adhikari, Kalyan Gauli, Rebecca M Ford

“…Non-farm and collectively managed forest income were significant contributors to household income in collectively managed forest areas, while income from individually managed forests dominated in those areas. …”
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Infrared dim tiny-sized target detection based on feature fusion by Peng Zhang, Yaman Jing, Guodong Liu, Ziyang Chen, Xiaoyan Wu, Osami Sasaki, Jixiong Pu

“…Furthermore, to tackle the problem of the fuzzy and ambiguous shape of the target caused by a weak signal and tiny dimension, a residual-based pyramid-like (RBPL) module is designed, which extracts the deep information (i.e. the shape information) from the images to compensate for the lack of expressive ability of the fixed convolution kernel for shape information. …”
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Evaluation of Learning Management Systems for Success Factors. by Muhaise, Hussein, Adeyemi, A. L., Muteb,I.J.

“…Through the literature reviewed on eLearning and Information Systems, the desire to determine the variables that measure the success factors for information systems continues. …”
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Exploring proteomic immunoprofiles: common neurological and immunological pathways in multiple sclerosis and type 1 diabetes mellitus by Fátima Cano-Cano, Almudena Lara-Barea, Álvaro Javier Cruz-Gómez, Francisco Martín-Loro, Laura Gómez-Jaramillo, María Carmen González-Montelongo, María Mar Roca-Rodríguez, Lucía Beltrán-Camacho, Lucía Forero, Javier J. González-Rosa, Mª Carmen Durán-Ruiz, Ana I. Arroba, Manuel Aguilar-Diosdado

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Tick species, tick-borne pathogen distribution and risk factor analysis in border areas of China, Russia and North Korea by Pengfei Min, Jianchen Song, Shaowei Zhao, Zhen Ma, Yinbiao Meng, Zeyu Tang, Zhenyu Wang, Sicheng Lin, Fanglin Zhao, Meng Liu, Longsheng Wang, Lijun Jia, Lijun Jia

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Virus-inspired biogenic delivery system for advancing cancer therapy by Di Sun, Hao Liang, Qianwen Mu, Chengchao Chu, Gang Liu, Chao Liu

“…Biogenic delivery systems imitating the natural structure of viruses are regarded as innovative nanoplatforms used to deliver drug compounds to related sites and target cells in organisms. …”
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Diurnal and Daily Variations of PM2.5 and its Multiple-Wavelet Coherence with Meteorological Variables in Indonesia by Nani Cholianawati, Tiin Sinatra, Ginaldi Ari Nugroho, Didin Agustian Permadi, Asri Indrawati, Halimurrahman, Meta Kallista, Moch Syarif Romadhon, Ilma Fauziah Ma’ruf, Dipo Yudhatama, Tesalonika Angela Putri Madethen, Asif Awaludin

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Unfixed Bias Iterator: A New Iterative Format by Zeqing Zhang, Xue Wang, Jiamin Shen, Man Zhang, Sen Yang, Fanchang Yang, Wei Zhao, Jia Wang

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A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor by Fan Hangming, Pan Junlin, Wang Yongchen, Yuan Zhe, Cheng Mengfan, Yang Qi, Liu Deming, Deng Lei

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Graph attention convolution network for power flow calculation considering grid uncertainty by Haochen Li, Liqun Liu, Shaojuan Yu, Qiusheng He, Qingfeng Wu, Jianfeng Zhang, Qinxiong Lu

“…Meanwhile, inductive learning is used during node sampling to more efficiently utilize global information. Furthermore, the learning ability of the model is further enhanced by the combination of stacked dilated convolution layers and a fully connected layer. …”
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Federated Learning Approach for Breast Cancer Detection Based on DCNN by Hussain AlSalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan

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A knowledge graph for crop diseases and pests in China by Rongen Yan, Ping An, Xianghao Meng, Yakun Li, Dongmei Li, Fu Xu, Depeng Dang

“…CropDP-KG covers relevant information on crop diseases and pests in China, featuring 8 primary entities such as diseases, symptoms, and crops, and is organized into 7 relationships such as primary occurrence locations, affected parts and suitable temperature. …”
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Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method by Yuxuan Bi, Peng Liu, Tianyi Zhang, Jialin Shi, Caixia Wang

“…By prioritizing the importance of input feature positions, this module enhances the sparse learning performance of critical feature information. Additionally, it strengthens the extraction capability of intrinsic feature information in both vertical and horizontal directions. …”
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3MT Competition (EUSIPCO2024): A peek into the black box: Insights into the functionality of complex-valued neural networks for multichannel speech enhancement by Annika Briegleb

“…The proposed framework allows to assess whether and where spatial information is represented inside the ANN, answering the question whether these ANNs exploit spatial cues in addition to spectral information. …”
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Two-dimensional semantic morphological feature extraction and atlas construction of maize ear leaves by Hongli Song, Hongli Song, Weiliang Wen, Weiliang Wen, Ying Zhang, Ying Zhang, Yanxin Zhao, Xinyu Guo, Xinyu Guo, Chunjiang Zhao, Chunjiang Zhao, Chunjiang Zhao

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Comprehensive Review of Meta-Learning Methods for Cold-Start Issue in Recommendation Systems by Jamallah M. Zawia, Maizatul Akmar Binti Ismail, Mohammad Imran, Buce Trias Hanggara, Diva Kurnianingtyas, Silvi Asna, Quang Tran Minh

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Kabale University - Debt Management Policy by Kabale University

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Interpretable Machine Learning Approaches for Forecasting and Predicting Air Pollution: A Systematic Review by Anass Houdou, Imad El Badisy, Kenza Khomsi, Sammila Andrade Abdala, Fayez Abdulla, Houda Najmi, Majdouline Obtel, Lahcen Belyamani, Azeddine Ibrahimi, Mohamed Khalis

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An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

“…To enable the model to obtain sufficient supervision information while avoiding information conflicts, in this paper, an inverted residual cross head knowledge distillation network (IRCHKD) is proposed. …”
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CPP: a path planning method taking into account obstacle shadow hiding by Ruixin Zhang, Qing Xu, Youneng Su, Ruoxu Chen, Kai Sun, Fengchang Li, Guo Zhang

“…Comparative analysis showed that CPP significantly outperformed five other algorithms—RRT, Improved B-RRT, RRT*, Informed RRT*, and Potential Field-by reducing running time by 46.01% to 93.3%, increasing path safety by 10.42% to 83.44%, and improving path smoothness, making it particularly effective for path planning in tactical scenarios involving unmanned vehicles.…”
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