A hybrid CNN-LSTM model with adaptive instance normalization for one shot singing voice conversion by Assila Yousuf, David Solomon George

“…This singing voice system with the help of activation function prevented the transfer of singer information while conveying the singing content. Additionally, the fusion of LSTM with CNN can enhance voice conversion models by capturing both local and contextual features. …”
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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…This research proposes a novel feature fusion-based model that incorporates two parallel tracks for efficient feature extraction. …”
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Granule-State Intelligent Mathematics for Analyzing Unseen Risks by Chong-fu Huang, Yun-dong Huang

“…In addition, the basic operations in GSIM should at least include averaging, cracking, interaction, stacking, and fusion. This paper discusses the granule-state diffusion model that achieves "drawing inferences about other cases from one instance" through mutual reference and uses this model to analyze again a case of death risk in a virtual city at the beginning of the corona virus disease 2019 (COVID-19) outbreak in March 2020. …”
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Research on Mine-Personnel Helmet Detection Based on Multi-Strategy-Improved YOLOv11 by Lei Zhang, Zhipeng Sun, Hongjing Tao, Meng Wang, Weixun Yi

“…Finally, the introduction of the Bi FPN mechanism in the Neck section optimizes the efficiency of multi-scale feature fusion and addresses issues related to feature loss and redundancy. …”
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Side-Scan Sonar Small Objects Detection Based on Improved YOLOv11 by Chang Zou, Siquan Yu, Yankai Yu, Haitao Gu, Xinlin Xu

“…A Content-Guided Attention Fusion (CGAF) module is also incorporated prior to the detection module to assign appropriate weights to various feature maps, thereby emphasizing the relevant object information. …”
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Uncommon presentation of a chronic recurrent symptomatic encapsulated calcified postoperative paraspinal lumbar hematoma: A case report by Timothy Edwards, Shaan Sadhwani, Brendan Sweeney, Antonio Almeda-Lopez, Walter C Peppelman, William J Beutler

“…The case features a 53-year-old female presented with severe lumbar back pain and right lower extremity radiculopathy in which she underwent a lumbar decompression posterior spinal fusion from L3 to L5 in 2008. Postoperatively, she developed a lumbar paraspinal hematoma which was treated with aspiration followed by conservative management. …”
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A Real-Time Road Scene Semantic Segmentation Model Based on Spatial Context Learning by Xiaomei Xiao, Jialiang Tang, Xiaoyan Lu, Zhengyong Feng, Yi Li

“…During training, a multi-scale strategy is used to group semantic regions, and a Channel Aggregation Block (CAB) is designed to dynamically capture semantic groups through a mechanism of feature separation and fusion, thereby aggregating multi-level pixel features to generate the final segmentation results. …”
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Mechanistic insights into endosomal escape by sodium oleate-modified liposomes by Ebrahim Sadaqa, Satrialdi, Fransiska Kurniawan, Diky Mudhakir

“…MD simulations revealed that under acidic endosomal conditions, SO is protonated to oleic acid, which integrates into the membrane, enhancing fluidity and promoting fusion events essential for cytosolic release. SO-Lipo enhance endosomal escape through a fusogenic mechanism, facilitating cytosolic delivery with reduced cytotoxicity. …”
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A 3D Dual Encoder Mirror Difference ResU-Net for Multimodal Brain Tumor Segmentation by Qiwei Xing, Zhihua Li, Yongxia Jing, Xiaolin Chen

“…Moreover, a Mirror Difference Feature Fusion (MDFF) module is integrated between the dual encoders and the decoder. …”
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Treatment for Nontype 1 Retinopathy of Prematurity by Intravitreal Injection of Antivascular Endothelial Growth Factor Drugs by Haitao Zhang, Xin Yang, Fangfang Zheng, Xiangke Yin, Suhua Wan

“…Compared with the type 1 ROP group, the nontype 1 ROP group had slightly later treatment time (39.8 ± 2.7 weeks vs 38.1 ± 2.6 weeks, P<0.05) and a higher proportion of fusion protein drugs (87.2% vs 54.5%, P<0.05). After intravitreal injection of anti-VEGF drugs, 27 eyes (41.5%) were cured and 38 eyes (58.5%) improved in the nontype 1 ROP group, without recurrence and aggravation cases. …”
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Comparative experimental validation of microwave hyperspectral atmospheric soundings in clear-sky conditions by L. Liu, N. Bliankinshtein, Y. Huang, J. R. Gyakum, P. M. Gabriel, S. Xu, M. Wolde

“…When both instruments are placed on the ground to acquire zenith-pointing measurements, the infrared hyperspectral measurements exhibit higher information content and greater vertical resolution for temperature and water vapor retrievals than the microwave hyperspectral measurements. A synergistic fusion of HiSRAMS and AERI measurements from the air and ground is tested. …”
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Cytological Features of Mammary Analogue Secretory Carcinoma of the Parotid Gland in a 15-Year-Old Girl: A Case Report with Review of the Literature by Takako Inaba, Yuki Fukumura, Tsuyoshi Saito, Junkichi Yokoyama, Shinichi Ohba, Atsushi Arakawa, Takashi Yao

“…Mammary analogue secretory carcinoma (MASC) is a recently recognized tumor of salivary glands characterized by the ETV6-NTRK3 fusion gene. This tumor is very rare in children and adolescents. …”
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Shadow Detection in Remote Sensing Images Based on Multibranch Feature Aggregation and Channel-Spatial Attention by Xueli Chang, Haiyang Shi, Tiejun Zhang, Huazhong Jin, Ao Xu

“…To address these challenges, this article proposes a shadow detection method based on a multibranch channel-spatial attention network, which combines the multibranch feature aggregation module (MFAM) and the channel-spatial parallel attention feature fusion module (C-SPAFFM). The MFAM effectively integrates shadow information at different scales, reducing missed detections caused by changes in shadow size and shape. …”
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A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor by Omar AlShorman, Muhammad Irfan, Nordin Saad, D. Zhen, Noman Haider, Adam Glowacz, Ahmad AlShorman

“…Moreover, these techniques include signal/image processing, intelligent diagnostics, data fusion, data mining, and expert systems for time and frequency as well as time-frequency domains. …”
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Sensor-based technologies for motion analysis in sports injuries: a scoping review by Afrooz Arzehgar, Seyedeh Nahid Seyedhasani, Fatemeh Baharvand Ahmadi, Fatemeh Bagheri Baravati, Alireza Sadeghi Hesar, Amir Reza Kachooei, Shokoufeh Aalaei

“…Inertial measurement unit (IMU) sensors were the most commonly used for motion data collection. Sensor fusion techniques have gained traction, particularly for rehabilitation assessment. …”
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The finding of black currants from sect. <i>Eucoreosma</i> (Grossulariaceae) in the central part of southern Primorsky Territory, Russia by L. A. Fedina, M. A. Polezhaeva, D. R. Iunusova, M. N. Koldaeva, A. Sh. Sabitov

“…The differences in chloroplast DNA fragments between the Siberian/Far Eastern species R. pauciflorum and the European/Siberian species R. nigrum make doubtful their possible fusion, based only on morphological characters, and require further studies.…”
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Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data by Jiancheng Zhong, Zuohang Qu, Ying Zhong, Chao Tang, Yi Pan

“…Compared with that of node-based network topology centrality and fusion biological information centrality methods, the new similarity coefficient PJC showed a significantly improved prediction performance for essential proteins in DC, IC, Eigenvector centrality, subgraph centrality, betweenness centrality, closeness centrality, NC, PeC, and WDC. …”
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A Method for Tomato Ripeness Recognition and Detection Based on an Improved YOLOv8 Model by Zhanshuo Yang, Yaxian Li, Qiyu Han, Haoming Wang, Chunjiang Li, Zhandong Wu

“…Additionally, the BiFPN (Bidirectional Feature Pyramid Network) module is introduced to replace the traditional PANet connection, which achieves efficient feature fusion across different scales of tomato skin color, size, and surrounding environment and optimizes the expression ability of the feature map. …”
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Shock wave dynamics in nanoporous tungsten and molybdenum via molecular dynamics simulations: Insights into thermodynamic and structural evolution by Yiqun Hu, Zhenhai Li, Xiumin Xu, Yuhang Zhang, Re Xia

“…Nanoporous tungsten (NP–W) and molybdenum (NP–Mo) are of great interest in aerospace and nuclear fusion/fission reactor industrial sections. Molecular dynamics (MD) simulations are employed for understanding the influences of shock velocity and relative density on the shock responses of NP-W and NP-Mo with stochastic bicontinuous structural features. …”
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Frequency Spectrum-Based Optimal Texture Window Size Selection for High Spatial Resolution Remote Sensing Image Analysis by Min Cao, Dongping Ming, Lu Xu, Ju Fang, Lin Liu, Xiao Ling, Weizhi Ma

“…In order to verify the validity of this proposed texture scale selection method, this paper uses high-resolution fusion images to classify land cover based on multiscale texture expression. …”
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