A Multi-Stage Progressive Pansharpening Network Based on Detail Injection with Redundancy Reduction by Xincan Wen, Hongbing Ma, Liangliang Li

“…Thus, there remains potential for improving the quality of both the spectral and spatial domains of the fused images based on deep-learning-based pansharpening methods. This work proposes a new method for the task of pansharpening: the Multi-Stage Progressive Pansharpening Network with Detail Injection with Redundancy Reduction Mechanism (MSPPN-DIRRM). …”
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Improved Connected-Mode Discontinuous Reception (C-DRX) Power Saving and Delay Reduction Using Ensemble-Based Traffic Prediction by Ji-Hee Yu, Yoon-Ju Choi, Seung-Hwan Seo, Seong-Gyun Choi, Hye-Yoon Jeong, Ja-Eun Kim, Myung-Sun Baek, Young-Hwan You, Hyoung-Kyu Song

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MOTL: enhancing multi-omics matrix factorization with transfer learning by David P. Hirst, Morgane Térézol, Laura Cantini, Paul Villoutreix, Matthieu Vignes, Anaïs Baudot

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A Deep Learning Approach for Distant Infrasound Signals Classification by Xiaofeng Tan, Xihai Li, Hongru Li, Xiaoniu Zeng, Tianyou Liu, Shengjie Luo

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Quadratic descriptors and reduction methods in a two-layered model for compound inference by Jianshen Zhu, Naveed Ahmed Azam, Shengjuan Cao, Ryota Ido, Kazuya Haraguchi, Liang Zhao, Hiroshi Nagamochi, Tatsuya Akutsu

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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

Subjects: “…Dimensionality reduction…”
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Advancing wastewater reuse: AI-driven insights into ozone-based organic pollutant reduction by Syed Muzzamil Hussain Shah, Sani I. Abba, Mohamed A. Yassin, Ebrahim Al-Qadami, Dahiru U. Lawal, Imtiaz Afzal Khan, Jamilu Usman, Haris U. Qureshi, Isam H. Aljundi

“…Subsequently, the study further integrated Artificial Intelligence (AI) assisted Machine Learning (ML) for accurate ORP prediction. Several models such as ANFIS-M1, ANFIS-M2, SVR-M1, SVR-M2, RLR-M1, and RLR-M2 (α, β, γ, Δ, ε, ζ variations) were developed and evaluated. …”
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Enhanced anomaly network intrusion detection using an improved snow ablation optimizer with dimensionality reduction and hybrid deep learning model by Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Sami Saad Albouq, Mutasim Al Sadig

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Rore: robust and efficient antioxidant protein classification via a novel dimensionality reduction strategy based on learning of fewer features by Chaolu Meng, Yongqi Hou, Quan Zou, Lei Shi, Xi Su, Ying Ju

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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…This study proposes a Mitigating Malicious Denial of Wallet Attack using Attribute Reduction with Deep Learning (MMDoWA-ARDL) approach for serverless computing on next-generation applications. …”
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Machine learning revealed giant thermal conductivity reduction by strong phonon localization in two-angle disordered twisted multilayer graphene by Jingwen Wang, Zheng Zhu, Tianran Jiang, Ke Chen

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A novel machine learning-based approach to determine the reduction factor for punching shear strength capacity of voided concrete slabs by Alireza Mahmoudian, Mussa Mahmoudi, Mohammad Yekrangnia, Nima Tajik, Mostafa Mohammadzadeh Taleshi

“…This model treats voided slabs as solid ones to generate a reduction factor, representing the reduction of punching shear strength in voided concrete slabs compared to the corresponding conventional ones, for estimating the punching shear strength of voided slabs. …”
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Metal artifact reduction combined with deep learning image reconstruction algorithm for CT image quality optimization: a phantom study by Huachun Zou, Zonghuo Wang, Mengya Guo, Kun Peng, Jian Zhou, Lili Zhou, Bing Fan

Subjects: “…Deep learning image reconstruction…”
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Governments’ behavioral strategies in cross-regional reduction of inefficient industrial land: learned from a tripartite evolutionary game model by Guangyu Li, Shaohua Wu, Heyuan You, Chengcheng Wang

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Students’ perception of a reduction in teaching weeks in a medical programme in Fiji by Rachael Tufui Masilomani, Sophaganie Jepsen, Maria Lourdes Villaruel, Aying Wang, Alena Kotoiwasawasa, Lusiana Naikawakawavesi, Norman Bartolome, Claudia Paterson, Andrew Hill, Maria Concepcion Bartolome

“…The purpose of this study was to assess student perceptions of learning and teachers following the reduction in the number of teaching weeks from 18 to 14 weeks. …”
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Dose Reduction in Scintigraphic Imaging Through Enhanced Convolutional Autoencoder-Based Denoising by Nikolaos Bouzianis, Ioannis Stathopoulos, Pipitsa Valsamaki, Efthymia Rapti, Ekaterini Trikopani, Vasiliki Apostolidou, Athanasia Kotini, Athanasios Zissimopoulos, Adam Adamopoulos, Efstratios Karavasilis

“…Methods: A supervised learning framework was developed using real-world paired low- and full-dose images from 105 patients. …”
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Deep learning-based CAD system for Alzheimer’s diagnosis using deep downsized KPLS by Syrine Neffati, Kawther Mekki, Mohsen Machhout

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Joint Tomek Links (JTL): An Innovative Approach to Noise Reduction for Enhanced Classification Performance by Goksu Tuysuzoglu, Yunus Dogan, Elife Ozturk Kiyak, Mustafa Ersahin, Bita Ghasemkhani, Kokten Ulas Birant, Derya Birant

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CLASSIFYING ANDROID MALWARE CATEGORIES BASED ON DYNAMIC FEATURES: AN INTEGRATION OF FEATURE REDUCTION AND SELECTION TECHNIQUES by abdullah alsraratee, Ahmed Al-Azawei

“…As feature selection and reduction techniques, Mutual Information and Principle Component Analysis are used. …”
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Conditional GAN performs better than orthopedic surgeon in virtual reduction of femoral neck fracture by Keyang Zhao, Yihan Mei, Xiaoling Wang, Weihui Ma, Wei Shen

Subjects: “…Deep learning…”
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