IDDNet: Infrared Object Detection Network Based on Multi-Scale Fusion Dehazing by Shizun Sun, Shuo Han, Junwei Xu, Jie Zhao, Ziyu Xu, Lingjie Li, Zhaoming Han, Bo Mo

“…In foggy environments, infrared images suffer from reduced contrast, degraded details, and blurred objects, which impair detection accuracy and real-time performance. To tackle these issues, we propose IDDNet, a lightweight infrared object detection network that integrates multi-scale fusion dehazing. …”
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Identity-based linear homomorphic signature for a restricted combiners’ group for e-commerce by Yuan Tian, Weitao Song, Tanping Zhou, Bin Hu, Xuan Zhou, Yujie Ding, Weidong Zhong, Xiaoyuan Yang

“…As the volume of electronic transaction data increases and the demand for real-time processing grows, network coding techniques have become popular for improving performance. …”
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Cellular network based multistatic integrated sensing and communication systems by Zixiang Han, Haiyu Ding, Lincong Han, Liang Ma, Xiaozhou Zhang, Mengting Lou, Yajuan Wang, Jing Jin, Qixing Wang, Guangyi Liu, Jiangzhou Wang

“…In addition, key issues in the cellular network based multistatic ISAC system are analyzed. …”
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Dual-structure-breaking electrolyte enables practical cadmium-metal battery by Yang-Feng Cui, Hao-Bin Song, Jing-Jing Yao, Qi Hao, Xue-Liang Li, Yi-Fan Li, Bin-Bin Guo, Yun-Hai Zhu, Hui Ying Yang

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Lightweight Scheme for Secure Signaling and Data Exchanges in Intelligent Precision Agriculture by Thekaa Ali Kadhim, Zaid Ameen Abduljabbar, Hamid Ali Abed AL-Asadi, Vincent Omollo Nyangaresi, Zahraa Abdullah Ali, Iman Qays Abduljaleel

“…This inadvertently introduces a number of vulnerabilities, exposing the collected data to numerous security and privacy threats. To address these issues, massive security solutions have been introduced to secure the communication process in precision agriculture. …”
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Research progress on catalytic preparation of fructose and lactic acid from biomass waste by WANG Yuxuan, GUO Fenfen, JIANG Zhicheng, TANG Aoyi, LIANG Yuan, KONG Lingzhao*

“…To promote the high-value and high-quality conversion of biomass waste downstream, this paper reviews the processing and production characteristics of catalytic conversion of biomass waste. …”
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Air Pollution and the Auditory System at Risk: A Narrative Review by Nasrin Gohari, Zahra Hosseini Dastgerdi, Aylin Mellati, Seyede Faranak Emami

“…Hearing loss is the second most common non-infectious disorder, and its effects can lead to serious issues in communication, speech, language, education, social interactions, finances, and mental well-being. …”
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GAPF-DFT: A graph-based alchemical perturbation density functional theory for catalytic high-entropy alloys by Mohamed Hendy, Okan K. Orhan, Homin Shin, Ali Malek, Mauricio Ponga

“…However, APDFT errors increase substantially when permutations occur near binding sites. To address this issue, we developed a graph-based Gaussian process regression model to correct discrepancies between APDFT and conventional density functional theory values. …”
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Fine-Grained Fusion With Distractor Suppression for Video-Based Person Re-Identification by Jiali Xi, Qin Zhou, Yiru Zhao, Shibao Zheng

“…Moreover, to maintain the high-level semantic information of deep CNN features as well as enjoying the fine-grained local information, we adopt the feature mimicking scheme during the training process. Extensive experiments on two challenging large-scale datasets demonstrate effectiveness of the proposed method.…”
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Architecture of a dual scheme MXene/CoFe2O4/g-C3N4 heterojunction for sustainable water remediation by Sandra Mathew, Arun Varghese, Sunaja Devi K. R., Dephan Pinheiro

“…Active species like O2•− and •OH play a vital role in the photodegradation process, and the prepared catalyst exhibits a stable performance up to 5 cycles. …”
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Lightweight Vehicle Detection Based on Mamba_ViT by Ze Song, Yuhai Wang, Shuobo Xu, Peng Wang, Lele Liu

“…First, we introduce a new feature extraction architecture (Mamba_ViT) that separates shallow and deep features and processes them independently to obtain a more complete contextual representation, ensuring comprehensive and accurate feature extraction. …”
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Visually Secure Deep Joint Source-Channel Coding With Chaotic Map Against Deep Known-Plaintext Attack by Yuyang Fu, Katsuya Suto

“…This allows the encryption process to be designed independently of DJSCC, eliminating the need for re-training the end-to-end model. …”
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The Motivations of Recreational Hunters Who Violate Wildlife and Game Hunting Regulations: Implications for Crime Prevention by Andrew Day, Stuart Ross, Jason Flesch, Simon J. Toop

“…In this paper, we present how a crime prevention and compliance response can be used to understand the nature of the issue and the individual and socio-political processes that result in non-compliance with hunting regulations. …”
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Redesign of Wallet Production Facility Layout Using ARC and Simulation at Fanri Collection by Suci Miranda, Vembri Noor Helia, Audrie Aldefka A. Anafachsyah, Azzati Sahirah Elfahmi, Raihan, Sekar Arum Sari

“…One way of resolving the issue is by designing the layout and production facilities to minimize the distance of material handling in the production process. …”
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On Problem of Professional Training of Social Workers within the Framework of Higher Education by L. Z. Karavanova, R. I. Kachayev, M. G. Sergeyeva, I. S. Samokhin, N. L. Sokolova

“…The issue of training of social workers in higher education is considered. …”
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Exploitation of intellectual property systems for the manipulation of academic reputations by Reese A. K. Richardson, Nick H. Wise, Spencer S. Hong, Michael J. Draper, Sarah Fackrell

“…Due to this limited examination process, these registrations generally issue quite quickly. …”
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Automatic Annotation of Map Point Features Based on Deep Learning ResNet Models by Yaolin Zhang, Zhiwen Qin, Jingsong Ma, Qian Zhang, Xiaolong Wang

“…Prior research on it only addresses label conflict or overlap issues; it does not fully take into account and resolve both types of issues. …”
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Emergency Messages Dissemination Challenges Through Connected Vehicles for Efficient Intelligent Transportation Systems: A Review by Muhammad Akram Akram Mujahid, Kamalrulnizam Bin Abu Bakar, Tasneem S.J Darwish, Fatima Zuhra, Muhammad Aamer Ejaz, Gul Sahar

“…Road safety has become a critical issue in recent years. Emergency incidents such as accidents, heavy traffic and road damages are the main causes of the inefficiency of the traffic flow. …”
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Automated Seizure Detection through EEG Analysis and Deep Learning Technique by Srinivas Nowduri, M. Madhusudhana Subramanyam

“…To address this issue, this research proposes a new approach for automatically identifying epileptic seizures using a deep convolutional network. …”
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Risk diagnosis model for high-speed rail safety operation in big-data environment by Qizhou Hu, Xin Guan, Xiaoyu Wu

“…Aiming at the risk issue of high-speed rail (HSR) safety operation, big data technology and uncertain mathematical method are adopted to study it. …”
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