CrossModalSync: joint temporal-spatial fusion for semantic scene segmentation in large-scale scenes by Shuyi Tan, Yi Zhang, Yan Li, Byeong-Seok Shin

“…However, in complex, dynamic scenes, cumulative errors and the “many-to-one” mapping problem are challenges for existing semantic segmentation methods, which further limit their accuracy and efficiency. …”
Get full text

Assessing AI-Based Software’s Precision in Identifying Oral Lesions from Radiographs by Hamzah Ali Babkair, Mohammed Enamur Rashid, Abedalla Abdelghani, Tarek M. Ibrahim, Mohammad Khursheed Alam

“…The AI software performed better in detecting small lesions (accuracy: 88%) but was slightly less accurate for complex cases such as mixed radiolucent and radiopaque lesions (accuracy: 86%). …”
Get full text

Intelligent Collaborative Event Query Algorithm in Wireless Sensor Networks by Rongbo Zhu

“…Event query processing is a very important issue in wireless sensor networks (WSNs). In order to detect event early and provide monitoring information and event query timely in WSNs, an efficient intelligent collaborative event query (ICEQ) algorithm is proposed, in which sensor nodes that are near to the boundary of events are selected to accomplish complex event monitoring and query processing through intelligent collaboration. …”
Get full text

Impact of gut microbial diversity on egg production performance in chickens by Liping Wu, Tao Zhang, Zhihua Luo, Huiyuan Xiao, Di Wang, Cailong Wu, Xinyan Fang, Jiawei Li, Jing Zhou, Junjie Miao, Hongli Tan, Yanan Wang, Qing Liu, Jianhua Huang

“…High egg-producing chickens exhibit a higher abundance of specific bacterial taxa, such as Firmicutes and Proteobacteria, which are linked to enhanced nutrient absorption and metabolic efficiency. Conversely, lower and medium egg-producing chickens display greater microbial diversity, suggesting a more complex but less efficient gut ecosystem. …”
Get full text

Describing Pulmonary Nodules Using 3D Clustering by Amera Al-Funjan, Farid Meziane, Rob Aspin

“…Determining the tumor (nodule) characteristics in terms of the shape, location, and type is an essential step after nodule detection in medical images for selecting the appropriate clinical intervention by radiologists. …”
Get full text

Computational optimization of associative learning experiments. by Filip Melinscak, Dominik R Bach

“…With computational biology striving to provide more accurate theoretical accounts of biological systems, use of increasingly complex computational models seems inevitable. However, this trend engenders a challenge of optimal experimental design: due to the flexibility of complex models, it is difficult to intuitively design experiments that will efficiently expose differences between candidate models or allow accurate estimation of their parameters. …”
Get full text

Tomato Yield Estimation Using an Improved Lightweight YOLO11n Network and an Optimized Region Tracking-Counting Method by Aichen Wang, Yuanzhi Xu, Dong Hu, Liyuan Zhang, Ao Li, Qingzhen Zhu, Jizhan Liu

“…Accurate and effective fruit tracking and counting are crucial for estimating tomato yield. In complex field environments, occlusion and overlap of tomato fruits and leaves often lead to inaccurate counting. …”
Get full text

Tractor Transmission Gear Ratio Optimization by Müjdat Ersarı, Murat Gündoğdu

“…This transition is made feasible by the electric motor’s ability to deliver high torque across a broad RPM range, thereby enhancing performance while reducing the complexity of gear selection. The results of this optimization process show marked improvements in both the transmission's efficiency and its adaptability, making it highly suitable for a range of applications. …”
Get full text

Comparison of active site mutations at subsite + 2 of Anoxybacillus ayderensis A9 β-glucosidase for hydrolysis of pNPG and polydatin by Numan Saleh Zada, Ali Osman Belduz, Abdulrahman H. Alessa, Halil Ibrahim Güler, Mine Karaoğlan, Malik Badshah, Aamer Ali Shah, Aasia Kalsoom, Samiullah Khan

“…Based on structural and bioinformatics analysis an area near + 2 subsite of the active site pocket of BglA9 was selected and single point mutations were introduced with the aim to enhance the catalytic efficiency of the enzyme towards pNPG and polydatin. …”
Get full text

Simulation-Based Dynamic Passenger Flow Assignment Modelling for a Schedule-Based Transit Network by Xiangming Yao, Baomin Han, Dandan Yu, Hui Ren

“…The online operation management and the offline policy evaluation in complex transit networks require an effective dynamic traffic assignment (DTA) method that can capture the temporal-spatial nature of traffic flows. …”
Get full text

Exploring the potential of QSAR in the discovery of novel green TADF materials: an experimental and theoretical study by Jee Hyun Maeng, Dae Hyun Ahn, Chul Woong Joo, Jung Ho Ham, Se Chan Cha, Young Hun Jung, Jang Hyuk Kwon

“…This study explores the potential of quantitative structure–activity relationship (QSAR) calculations, particularly AutoQSAR, to streamline TADF OLED material selection and design. By leveraging the predictive capabilities of QSAR, we aimed to enhance the accuracy and efficiency of material development. …”
Get full text

Study on the characteristics and mechanism of inert powder inhibition of gas/coal dust compound explosion by Wentao JI, Guotao ZHANG, Shuaishuai YANG, Zihui XU, Wenzhe MAO, Yan WANG

“…Gas/coal dust composite explosion is a complex process that combines homogeneous and heterogeneous combustion. …”
Get full text

Rethinking feature representation and attention mechanisms in intelligent recognition of leaf pests and diseases in wheat by Yuhan Zhang, Dongsheng Liu

“…RReNet captures key information more efficiently by focusing on complex pest and disease characteristics and fusing multi-semantic feature information. …”
Get full text

Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network by Muhammad Sohaib, Jong-Myon Kim

“…In the past couple of years, deep learning algorithms have not only improved the classification performance in various disciplines (e.g., in image processing and natural language processing), but also reduced the complexity of feature extraction and selection processes. …”
Get full text

Use of UAVs to assess fire hazard of areas adjacent to trunk pipelines by Sharafutdinov Azat, Abdullin Nail, Balyklov Alexander, Akhmetkhafizov Aydar

“…The purpose of using multi-and hyperspectral complexes based on unmanned aerial vehicles is to increase the efficiency of fire safety control of trunk oil pipelines. …”
Get full text

Design of Arduino Computer Numerical Control Machine. by Mujurizi Frank

“…Using small machine tools to fabricate small scale parts will provide both flexibility and efficiency in manufacturing approaches and reduce capital cost, and complexity in CNC systems which is beneficial for small business owners.…”
Get full text

Overall architecture design of row/column scanning silicon-based focal plane switch array LiDAR transmitter system by Yu Wang, Yue Wang, Zeyang Zhang, Hang Cheng, Yuanhui Li, Guohui Yang, Kuang Zhang, Chunhui Wang

“…This architecture allows each optical path to control multiple grating couplers for simultaneous transmission, integrating both time-domain and spatial detection to enhance system detection efficiency and accuracy. …”
Get full text

Micro- and Nano-Plastics in Drinking Water: Threat or Hype? Critical State-of-the-Art Analysis of Risks and Approaches by Andrea G. Capodaglio

“…MP decomposition generates smaller nanoplastics (NPs) with different properties, closer to engineered nanoparticles than to MP. Their detection is more complex and laborious than MP’s, and, as such, their fate and effects are still poorly studied. …”
Get full text

GCF-DeepLabv3+: An Improved Segmentation Network for Maize Straw Plot Classification by Yuanyuan Liu, Jiaxin Zhang, Yueyong Wang, Yang Luo, Pengxiang Sui, Ying Ren, Xiaodan Liu, Jun Wang

“…An improved GCF-DeepLabv3+ model was utilized for detecting straw coverage types. The model incorporates StarNet as its backbone, reducing parameter count and computational complexity. …”
Get full text

Defect intelligent recognition of membrane product based on deep learning by Maonian Wu, Ling Li, Wei Peng, Tao Wu, Jinwei Yu, Bo Zheng, Shaojun Zhu

“…This enhances the recognition accuracy of bounding boxes, ensuring that the model maintains high detection accuracy even after complex scenarios. Moreover, the proposed methodology exhibits broad applicability across a wide spectrum of prevalent defect detection paradigms. …”
Get full text