Revised estimates of temperature changes under net zero CO2 emissions by Alex Borowiak, Andrew D. King, Josephine R. Brown, Tilo Ziehn

“…Abstract It is critical that climate changes beyond net zero are well understood to inform policymaking. …”
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Time Zero for Net Zero: A Coal Mine Baseline for Decarbonising Heat by Alison A. Monaghan, Luke Bateson, Adrian J. Boyce, Neil M. Burnside, Rebecca Chambers, Julia R. de Rezende, Eilidh Dunnet, Paul A. Everett, Stuart M. V. Gilfillan, Muhammad S. Jibrin, Gareth Johnson, Richard Luckett, Donald John MacAllister, Alan M. MacDonald, John W. Moreau, Laura Newsome, Alessandro Novellino, Barbara Palumbo-Roe, Ryan Pereira, Douglas Smith, Mike J. Spence, Vanessa Starcher, Helen Taylor-Curran, Christopher H. Vane, Thomas Wagner, David B. Walls

“…Integration of the wide array of time zero observations and understanding of coupled subsurface processes has significant potential to inform development of efficient and resilient geothermal infrastructure and to inform the design of fit-for-purpose monitoring approaches in the quest towards meeting Net Zero targets.…”
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Numerical study on the influence of flexible net permeability on debris flow impact loads. by Yanfen Wang, Siyu Xiao, Linbo Qiao

“…Debris flows in mountainous regions pose a significant threat to human lives and property. Flexible protection nets are widely used in debris flow prevention projects; however, their effectiveness requires improvement. …”
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SoybeanNet: A Lightweight Neural Network for Soybean Pod Detection and Quantification by Nayak Ashu, Raghatate Kapesh Subhash

“…In this research, we introduce SoybeanNet, a lightweight neural network specifically designed to detect and count soybean pods across diverse agricultural environments. …”
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ParaU-Net: An improved UNet parallel coding network for lung nodule segmentation by Yingqi Lu, Xiangsuo Fan, Jinfeng Wang, Shaojun Chen, Jie Meng

“…To address these challenges, this paper proposes an improved multi-scale parallel fusion encoding network, ParaU-Net. ParaU-Net enhances the segmentation accuracy and model performance by optimizing the encoding process, improving feature extraction, preserving down-sampling information, and expanding the receptive field. …”
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NetChecker: enabling real-time and error-locatable runtime verification for programmable networks by Ying Yao, Le Tian, Yuxiang Hu

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Role of Subsurface Geo-Energy Pilot and Demonstration Sites in Delivering Net Zero by M. H. Stephenson, D. A. C. Manning, M. J. Spence, L. Stalker, Z. K. Shipton, A. A. Monaghan

“…Recent research suggests that the effects of climate change are already tangible, making the requirement for net zero more pressing than ever. New emissions targets have been announced in April 2021 by various governments, including by the United Kingdom, United States, and China, prior to the Conference of the Parties (COP26) in Glasgow. …”
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RU-Net++: An automatic extraction method for Impervious Surface Area based on neural networks by F. Yu, X. Tu, L. Cai, J. Zhang, Z. Wang

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Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

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Benchmarking Large Language Models in Evaluating Workforce Risk of Robotization: Insights from Agriculture by Lefteris Benos, Vasso Marinoudi, Patrizia Busato, Dimitrios Kateris, Simon Pearson, Dionysis Bochtis

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Innovation Adoption and Its Effect on the Profitability of Dairy Farms in Sahiwal District, Punjab, Pakistan by Umer Bin KHALID, İsmet BOZ, Mohsin RIAZ

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A study of interpersonal information seeking: the role of topic and comment in the articulation of certainty and uncertainty of information need] by Kyunghye Yoon

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Truth Detection in Social Media Posts using Jaccard Algorithm with SRTD and Word Net Concept by Priyanka Sangwan, Rachna Behl

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PRIVACY-AWARE MALARIA DETECTION: U-NET MODEL WITH K-ANONYMITY FOR CONFIDENTIAL IMAGE ANALYSIS by Ghazala Hcini, Imen Jdey

“…This study presents a U-Net model combined with k-anonymity to enhance data security while maintaining high accuracy. …”
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MFI-Net: A multi-resolution fusion input network for retinal vessel segmentation. by Yun Jiang, Chao Wu, Ge Wang, Hui-Xia Yao, Wen-Huan Liu

“…The multi-resolution input module in MFI-Net avoids the loss of coarse-grained feature information in the shallow layer by extracting local and global feature information in different resolutions. …”
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ECG Signal Detection and Classification of Heart Rhythm Diseases Based on ResNet and LSTM by Qiyang Xie, Xingrui Wang, Hongyu Sun, Yongtao Zhang, Xiang Lu

“…Based on previous research on electrocardiogram (ECG) automatic detection and classification algorithm, this paper uses the ResNet34 network to learn the morphological characteristics of ECG signals and get the significant information of signals, then passes into a three-layer stacked long-term and short-term memory network to get the context dependency of the features. …”
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AWDS-net: automatic whole-field segmentation network for characterising diverse breast masses by Jiajia Jiao, Yingzhao Chen, Zhiyu Li, Tien-Hsiung Weng

“…In the encoder part of AWDS-net, a small mass extraction mechanism (SMEM) is designed to better retain fine-grained small mass location information, while a spatial pyramid module (SPM) is added to capture multi-scale context and high-resolution image information. …”
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CrackdiffNet: A Novel Diffusion Model for Crack Segmentation and Scale-Based Analysis by Yunlong Song, Yumeng Su, Shiying Zhang, Ruilin Wang, Youling Yu, Weiping Zhang, Qi Zhang

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Large–Small-Scale Structure Blended U-Net for Brightening Low-Light Images by Hao Cheng, Kaixin Pan, Haoxiang Lu, Wenhao Wang, Zhenbing Liu

“…And we use CC-Net, a U-shaped network, to generate noise-free images with vivid color. …”
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MSDP-Net: A Multi-Scale Domain Perception Network for HRRP Target Recognition by Hongxu Li, Xiaodi Li, Zihan Xu, Xinfei Jin, Fulin Su

“…This architecture enables MSDP-Net to effectively model complex scattering patterns and aspect-dependent variations. …”
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