DS Net: A Dual-Coded Segmentation Network Leveraging Large Model Prior Knowledge for Intelligent Landslide Extraction by Xiao Wang, Dongsheng Zhong, Chenghao Liu, Xiaochuan Song, Luting Xu, Yue Deng, Shaoda Li

“…An innovative Dual-Coded Segmentation Network (DS Net), which realizes dynamic alignment and deep fusion of local details and global context, image features and domain knowledge through the multi-attention mechanism of Prior Knowledge Integration (PKI) module and Cross-Feature Aggregation (CFA) module, significantly improves the landslide detection accuracy and reliability. To objectively evaluate the performance of the DS Net model, four efficient semantic segmentation models—SegFormer, SegNeXt, FeedFormer, and U-MixFormer—were selected for comparison. …”
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Improved YOLOv8n based helmet wearing inspection method by Xinying Chen, Zhisheng Jiao, Yuefan Liu

“…The YOLOv8 C2f module is enhanced with a new SC_Bottleneck structure, incorporating the SCConv module, now termed SC_C2f, to mitigate model complexity and computational costs. Additionally, the original Detect structure is substituted with the PC-Head decoupling head, leading to a significant reduction in parameter count and an enhancement in model efficiency. …”
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Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…In order to deal with these problems, this paper designs a flexible three-layer architecture framework, and introduces a new intrusion detection feature selection method that combines flock optimization (CSO) and genetic algorithm (GA) to reduce the complexity of feature selection and enhance the detection and processing power of security vulnerabilities through deep neural networks (DNN). …”
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Low-Frequency Model Constrained Petrophysical Estimation Based on Canonical Correlation Analysis by Hanming Chen, Lingqian Wang, Yamei Cao, Ning Wang, Hui Zhou, Mingyu Yang

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Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain by Mohammad Barzegar, Aliakbar Hasani

“…Customer churn is one of the challenges of business management in today's complex competitive environment. For this purpose, the organization must have an efficient system to detect and analyze the factors influencing customer churn. …”
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Fusion of non-iterative deep neural network feature extraction with kernel extreme learning machine for plant disease classification by Kirti Kirti, Navin Rajpal, Virendra P. Vishwakarma, Pramod Kumar Soni

“…Abstract Plant disease identification and detection refer to the process of recognizing and diagnosing diseases that affect plants. …”
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Study on the Leakage Diagnosis of a Chilled Water Pipeline Network System Based on Pressure Variation Rate Analysis for Climate Change Mitigation by Xuan Zhou, Fei Liu, Lisheng Luo, Shiman Peng, Junlong Xie

“…Such leakages reduce system lifespan, raise maintenance costs, and degrade operational efficiency. To overcome the limitations of current methods, such as insufficient interpretability and computational complexity in leak localization, this paper proposes a novel leakage diagnosis and localization scheme based on pressure variation rate analysis in closed chilled water pipeline networks. …”
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Orthogonal-state-based measurement device independent quantum communication: a noise-resilient approach by Chitra Shukla, Abhishek Shukla, Symeon Chatzinotas, Milos Nesladek

“…Noise imposes a major challenge to the efficient implementation of these measurement-device-independent based secure direct quantum communication protocols. …”
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Spatial Characteristics and Influencing Factors of Human Settlement Environment in the Kuye River Basin by Zhonghua ZHANG, Hao WU

“…The balanced and concentrated sub-basins are conducive to the formation of abundant water resources and efficient settlement spatial structure. Basin terrain is an important factor influencing the human settlement environment in a basin, and the impact mode on the quality of the human settlement environment in a basin is “weak monomer, strong synergy”. …”
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Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data by Yingpin Yang, Zhifeng Wu, Dakang Wang, Cong Wang, Xiankun Yang, Yibo Wang, Jinnian Wang, Qiting Huang, Lu Hou, Zongbin Wang, Xu Chang

“…Remote sensing offers an efficient approach for large-scale phenology retrieval, but most studies have primarily focused on staple crops. …”
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YOLOv9-AAG: Distinguishing Birds and Drones in Infrared and Visible Light Scenarios by Peichun Suo, Jincan Zhu, Qingyang Zhou, Weili Kou, Xiuyan Wang, Wen Suo

“…However, achieving high precision in recognition under complex and dynamic conditions remains a significant hurdle. …”
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Lantern-Explorer: A Collision-Avoidance Autonomous Exploration Drone System Based on Laser SLAM with Optimized Hardware and Software by L. Zhu, L. Zhu, R. Zhong, R. Zhong, D. Xie, D. Xie, X. Yuan, X. Yuan

“…To address this, we propose Lantern-Explorer, an autonomous exploration drone system optimized for both hardware and software based on LiDAR SLAM, to balance exploration efficiency and mapping accuracy in complex environments. …”
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Rapid diagnosis of adult-type diffuse glioma using a layered scheme by Jinsong Wu, Shuai Wu, Dandan Cao, Zhang Xiong, Jianhua Zhang, Yourui Zou, Zanyi Wu, Yanli Nie, Chen Luo, Ye Yao, Yanyan Song, Yuchen Jiao, Hong Chen, Hui Ma, Dezhi Kang, Ying Mao, Hai Yan

“…Abstract Background Molecular biomarkers have become an essential part of the diagnosis of adult-type diffuse glioma. Still, complex detection methods and long-term turnaround for these biomarkers hinder integrated diagnosis in clinical practice. …”
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Research on Parameter Influence of Offshore Wind Turbines Based on Measured Data Analysis by Renfei Kuang, Jinhai Zhao, Tuo Zhang, Chengyang Li

“…However, under complex external conditions and varying structural parameters, existing methods struggle to accurately and quickly detect damage. …”
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The impact of health and technology shifts on antibiotic use among the elderly in Thailand by Nakarin Prasit, Surachai Phimha, Ampawan Nonthamat, Nathakon Nilnate, Nattaporn Nidthumsakul, Puwanart Sresutham

“…Notable spatial and temporal variations in antibiotic utilization were detected. The physician ratio demonstrated a negative association with antibiotic usage (Coefficient=− 0. 613, P = 0.035), while household internet accessibility showed a positive relationship (Coefficient = 0.003, P = 0.001). …”
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Artificial Intelligence in Primary Malignant Bone Tumor Imaging: A Narrative Review by Platon S. Papageorgiou, Rafail Christodoulou, Panagiotis Korfiatis, Dimitra P. Papagelopoulos, Olympia Papakonstantinou, Nancy Pham, Amanda Woodward, Panayiotis J. Papagelopoulos

“…Innovative segmentation techniques and multimodal imaging models have further enhanced healthcare efficiency by reducing physician workload and improving diagnostic accuracy. …”
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Chitosan-encapsulated linoleic acid from Leucaena leucocephala (Lam.) de Wit. inhibits FOXL2 mutation in MNU-induced ovarian granulosa cell tumors in Wistar rats by Cletus Anes Ukwubile, Hassan Braimah Yesufu, Roland Nnaemeka Okoro, Ahamefula Anslem Ahuchaogu, Blessing Ogechukwu Umeokoli, Matthew Onyema Agu, Nnamdi David Menkiti, Patrick Akoji Ida

“…Gel retardation assay showed efficient complexation between LACS2 and FOXL2 gene, with maximum complex formation (86.22 ± 2.04 %) observed at 32 mg chitosan and 8 mg FOXL2. …”
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ETIA: Enhancing Text2Image Surround View Scene Generation With Semantic Annotation via Diffusion for Autonomous Driving by Ramyashree, S. Raghavendra, S. K. Abhilash, Venu Madhav Nookala, P. V. Arun Kumar, P. Malashree

“…Generating high-fidelity surround view images from text prompts is a complex task that requires balancing contextual coherence with computational efficiency. …”
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Review of Pre-processing Techniques for Meteorological Satellite Data Assimilation in Numerical Prediction by Ma Gang, Huang Jing, Gong Xinya, Xi Shuang, Xue Lei, Li Juan, Zhang Peng, Gong Jiandong

“…In the variational assimilation of numerical forecasts, assimilation pre-processing filters effective information from satellite pre-processed measurements, supports the positive contribution of satellite data assimilation to numerical forecast operations, and is an important link in determining the efficiency, quality and effectiveness of assimilation of large quantities of satellite data. …”
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Toward Adaptive Unsupervised and Blind Image Forgery Localization with ViT-VAE and a Gaussian Mixture Model by Haichang Yin, KinTak U, Jing Wang, Wuyue Ma

“…Experimental results on benchmark datasets demonstrate that DVVG not only enhances VAE performance but also improves efficiency in modeling complex latent distributions. …”
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