Climate Justice and the Moral Relevance of the Past by Simon Caney

“… I shall focus on one issue in particular.  One key feature of climate change is that the problem has, in part, been caused by the actions of previous generations. …”
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Dearabization of Islamic Government during the Abbasid Dynasty by Ahmad Syafi'i Mufadzilah Riyadi, Muhammad Habib Adi Putra

“…The influence of social strata became a feature of the Arabization movement at that time. …”
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Mining Potential Spammers from Mobile Call Logs by Zhipeng Liu, Dechang Pi, Yunfang Chen

“…With the rapid development of mobile telecommunication, voice call spam has become a growing problem in China. Many mobile phone users have become the victim of spam calls and suffered heavy financial loss. …”
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Target Tracking Algorithm Based on Adaptive Scale Detection Learning by Dawei Yang

“…In this paper, to better solve the problem of low tracking accuracy caused by the sudden change of target scale, we design and propose an adaptive scale mutation tracking algorithm using a deep learning network to detect the target first and then track it using the kernel correlation filtering method and verify the effectiveness of the model through experiments. …”
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Toward general object search in open reality by Gang Shen, Wenjun Ma, Guangyao Chen, Yonghong Tian

“…Specifically, based on a standard siamese structure, SEA-Net introduces a novel branch that comprises multiple stage-stacked Siamese Exchanged Attention (SEA) layers followed by a Hierarchical Feature Fusion (HFF) module, enabling efficient scale adaptation and the extraction of matching-friendly deep features. …”
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Design and Security Analysis of a Fragment of Internet of Things Telecommunication System by V. A. Alexandrov, V. A. Desnitsky, D. Y. Chaly

“…In terms of active development of industries, use the concept of the Internet of Things, the information security problem is urgent. To create a protected module of information-telecommunication system which implements the Internet of Things concept, it is important to take into account all its aspects. …”
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Efficient BFCN for Automatic Retinal Vessel Segmentation by Yun Jiang, Falin Wang, Jing Gao, Wenhuan Liu

“…Second, using the multiscale information extraction (MSIE) module in the backbone network can capture the global contextual information in a larger area to reduce the loss of feature information. At the same time, using the transfer layer (T_Layer) can not only alleviate gradient vanishing problem and repair the information loss in the downsampling process but also obtain rich spatial information. …”
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Lidar-Binocular Camera-Integrated Navigation System for Underground Parking by Wei He, Rui Li, Wenjie Liao

“…Then, in the field experiment, the 3D cloud point data were collected by the test vehicle that equipped with the proposed navigation system from an underground parking and obtained 199 pairs of feature points’ distances. Finally, four different statistical methods were used to analyze the calculated distance errors. …”
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Utilizing soil–water characteristic curve parameters in custom artificial neural network models to predict the unsaturated hydraulic conductivity by Bashar Alibrahim, Maan Habib, Ahed Habib

“…This study introduces a predictive model utilizing a custom artificial neural network (ANN) based on saturated hydraulic conductivity and critical unsaturated soil parameters from Alibrahim and Uygar’s model. A unique feature of this ANN is the implementation of a filter within its architecture, ensuring predictions remain within logical bounds by prohibiting negative outputs, which are not physically meaningful for this problem. …”
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Optimal Graph Information Fused Graph Attention Network for Traffic Flow Forecasting by Xing Xu, Luchen Fei, Yun Zhao, Xiaoshu Lü

“…Specifically, we learn the actual connections between nodes and the hidden spatial relationships through the multigraph feature fusion structure. Next, we design a new graph attention network (GAT), which improves the problem of ignoring edge features in the graph structure in the traditional GAT model and considers their edge features when estimating the correlation of each neighboring node pair: the effect that the distance factor between neighboring nodes has on the spatial correlation. …”
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Phase Retrieval Utilizing Particle Swarm Optimization by Li-Jing Li, Teng-Fei Liu, Ming-Jie Sun

“…However, due to the nonconvex feature of the phase optimization problem, it remains a challenge to globally obtain the optimal phase information. …”
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Characteristics of the opportunistic infections in patients with HIV-infection 3-4 stage by M. O. Andrushchak

“…Interaction of drugs and their toxicity, high risk of serious side effects should be noted. This problem can be solved by improving prescribing schemes taking into account the features of the disease in each case specifically. …”
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Predicting the Behavior of Road Users in Rural Areas for Self-Driving Cars by S. A. Ivanov, B. Rasheed

“…These elements use standard practices for solving the prediction problem and adapting it to the domain of rural roads.Results. …”
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Intrusion detection in cluster‐based wireless sensor networks: Current issues, opportunities and future research directions by Ayuba John, Ismail Fauzi Bin Isnin, Syed Hamid Hussain Madni, Muhammed Faheem

“…In addition, this research conducted several comparative studies of feature selection techniques and machine learning methodologies in the development of intrusion detection systems. …”
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Quantitative estimation of fuzzy crisis management by О. V. German, М. V. Kuznetsov

“…The presented model and algorithm are quite universal and can be relatively simply adapted taking into account the specific features of the problem. A distinctive feature of the approach proposed in the article, for example in comparison with neural network models, is a decrease in the degree of subjectivity in the choice of the control rules. …”
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Late-onset systemic lupus erythematosus in the elderly by N. G. Klyukvina

“…It considers the problems of differential diagnosis. There are data available in the literature and the results of the author's own investigations.…”
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Massive Pulmonary Thromboembolism and Stroke by Poobalan Naidoo, Richard Hift

“…A 38-year-old HIV-positive female, recently started on antiretroviral therapy, presented in extremis. She had features suggestive of an HIV-associated cardiomyopathy complicated by the following problems: a four-day-old stroke, extensive deep venous thrombosis, and massive pulmonary embolism. …”
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ET-Mamba: A Mamba Model for Encrypted Traffic Classification by Jian Xu, Liangbing Chen, Wenqian Xu, Longxuan Dai, Chenxi Wang, Lei Hu

“…During the fine-tuning phase, the agent attention mechanism is adopted in the feature extraction phase to achieve global information modeling at a low computational cost, and the SmoothLoss function is designed to solve the problem of the insufficient generalization ability of cross-entropy loss function during training. …”
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Deep learning based model predictive control of active filter inverter as interface for photovoltaic generation by Amin Rasoulian, Hadi Saghafi, Mohammadali Abbasian, Majid Delshad

“…Although MPC is an easily implemented control system, it needs a high computational complexity due to the dependency on solving an iterative optimization problem. To overcome this problem, this study develops an artificial intelligence‐based on one‐dimensional convolutional neural network (1D‐CNN) based MPCs. …”
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A generative adversarial network–based method for generating negative financial samples by Zhaohui Zhang, Lijun Yang, Ligong Chen, Qiuwen Liu, Ying Meng, Pengwei Wang, Maozhen Li

“…In financial anti-fraud field, negative samples are small and sparse with serious sample imbalanced problem. Generating negative samples consistent with original data to naturally solve imbalanced problem is a serious problem. …”
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