Research on Dynamic Characteristics of Stock Market Based on Big Data Analysis by Ping Yang, Xiaohong Hou

“…The stock market is a real and continuously evolving extremely complex dynamic system. This paper analyzes the change of stock market efficiency from the perspective of dynamic evolution, and the recursive graph method is used to obtain the dynamic characteristics of stock price time series. …”
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Temperature-Responsive Microrobot for High-Temperature Sensing in Constrained Environments by Shaobo Ding, Junmin Liu, Jiaxu Dong, Rencheng Zhuang, Enbo Shi, Shutong Wang, Yuhang Xiao, Dekai Zhou, Longqiu Li, Xiaocong Chang

“…Due to poor accessibility to constrained space, and low visibility, conventional thermometry and existing nanoscale thermometers struggle to achieve efficient and accurate temperature detection. As an emerging technology, microrobots offer great potential for temperature sensing in such challenging conditions. …”
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Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

“…Overall, the findings reveal the potential of this hybrid approach to advance MRI-based tumor detection, offering a promising tool that enhances both accuracy and computational efficiency for medical imaging and diagnosis.…”
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Improved salp swarm algorithm based optimization of mobile task offloading by Aishwarya R., Mathivanan G.

“…This application requires complex computation for better user experience and real-time decision-making. …”
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Event-Triggered Impulsive Formation Control for Cooperative Obstacle Avoidance of UAV Swarms in Tunnel Environments by Rui Hao, Wenjie Zhou, Yuanfan Wang, Yuehao Yan

“…This paper proposes a cooperative obstacle avoidance strategy for UAV formation based on adaptive event-triggered impulse control, achieving efficient navigation under limited resources. The strategy comprises four key modules: an adaptive event-triggering mechanism, optical flow-based obstacle detection, leader–follower formation structure, and dynamic communication topology management. …”
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A physics-informed and data-driven framework for robotic welding in manufacturing by Jingbo Liu, Fan Jiang, Shinichi Tashiro, Shujun Chen, Manabu Tanaka

“…However, in real-world industrial applications, the intricate interplay among data quality, model accuracy, and generalizability poses significant challenges, hindering the effective deployment and scalability of data-driven models in complex manufacturing environments. To address this challenge, this paper proposes a universal Physics-informed Hybrid Optimization framework for Efficient Neural Intelligence (PHOENIX) in manufacturing, demonstrating its applicability in robotic welding scenarios. …”
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TrainNet for locking state recognition of side door of railway freight car by Ning Xing, Cai Kangcheng, Zhou Shumin, Lan Xiangui, Lai Yihui

“…Current approaches that focus on existing object recognition methods lead to high false detection and miss rates. This paper introduces TrainNet for efficient locking state detection for Open-top wagon doors. …”
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Targeted immunotherapy approaches for intraductal papillary neoplasm of the bile duct by Bahareh Sadri, Massoud Vosough

“…Abstract: Intraductal papillary neoplasm of the bile duct (IPNB) is a complex biliary tractneoplasm. Its classifications based on distinct clinical, pathological, andradiological features and gene mutations, are of paramount importance. …”
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A lamination-based piezoelectric insole gait analysis system for massive production for Internet-of-health things by Yanning Dai, Yuedong Xie, Junliang Chen, Shuaibo Kang, Lijun Xu, Shuo Gao

“…Gait analysis has been proved to be a powerful and efficient means for health monitoring. Variety of nervous system diseases and emergencies can be detected by interpreting plantar stress distributions. …”
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Impact of AI and Machine Learning on Financial Services by Patil Smita, Mailcontractor Rahul

“…From retail banking to investment firms, financial organizations are progressively implementing AI and ML technologies to improve decision-making and enhance the customer experience. Complex financial issues such as fraud detection, risk management, credit scoring and algorithmic trading can be addressed using devices like AI and ML. …”
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Automated Icon Extraction from Tourism Maps: A Synergistic Approach Integrating YOLOv8x and SAM by Di Cao, Xinran Yan, Jingjing Li, Jiayao Li, Lili Wu

“…Nevertheless, the intricate shapes and dense distribution of symbols in tourist maps complicate the accurate and efficient detection and extraction using existing methods. …”
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Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

“…With the rapid advancements in deep learning, IoT intrusion detection systems have increasingly adopted deep learning models as the state-of-the-art solution due to their ability to handle complex data patterns. …”
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A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…To this end, a set of technical solutions, including background removal, object detection, and accurate counting, were designed. Firstly, a combined background segmentation method based on contrast enhancement filtering combined with ultra-green eigenvalues and the Otsu algorithm was proposed to remove the complex background in remote sensing images and retain the morphological information of soybean seedlings. …”
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CAEB7-UNet: An Attention-Based Deep Learning Framework for Automated Segmentation of C-Spine Vertebrae in CT Images by Abhishek Kumar Pandey, Kedarnath Senapati, G. P. Pateel

“…This study presents a novel channel attention-based EfficientNetB7-UNet (CAEB7-UNet) method to address this complex task effectively. …”
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Unbiased analysis of obesity related, fat depot specific changes of adipocyte volumes and numbers using light sheet fluorescence microscopy. by Natalie Theobalt, Isabel Hofmann, Sonja Fiedler, Simone Renner, Georg Dhom, Annette Feuchtinger, Axel Walch, Martin Hrabĕ de Angelis, Eckhard Wolf, Rüdiger Wanke, Andreas Blutke

“…LSFM allows for accurate and efficient determination of relevant quantitative morphological adipocyte parameters. …”
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Biologically inspired hybrid model for Alzheimer’s disease classification using structural MRI in the ADNI dataset by Houmem Slimi, Imen Cherif, Sabeur Abid, Mounir Sayadi

“…Classification metrics (precision, recall, F1-score) highlight the model’s ability to disentangle complex spatiotemporal patterns in neurodegeneration. …”
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Investigating the Capabilities of Ensemble Machine Learning Model in Identifying Near-Fault Pulse-Like Ground Motions by Jafar Al Thawabteh, Jamal Al Adwan, Yazan Alzubi, Ahmad Al-Elwan

“…In recent years, the detection and analysis of near-fault pulse-like ground motions have become increasingly crucial due to their potential to cause significant structural damage during seismic events. …”
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IoT-Enhanced Smart Parking Management With IncepDenseMobileNet for Improved Classification by Xiaoxia Zheng, Wenxi Feng, Ning Wang, Huhemandula

“…The IncepDenseMobileNet (IDMN) model integrates Inception, DenseNet, and MobileNet architectures to proficiently capture complex patterns via multi-scale feature extraction and efficient depthwise separable convolutions. …”
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Chemometric and computational modeling of polysaccharide coated drugs for colonic drug delivery by Ahmad Khaleel AlOmari, Khaled Almansour

“…Parity plots and learning curves further validate MLP’s predictive reliability, demonstrating close alignment between actual and predicted values and efficient learning with minimal overfitting. Consequently, the MLP model emerges as the most effective approach for this predictive task, offering a robust tool for accurately modeling complex spectral data. …”
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Strategies and Challenges for Unmanned Aerial Vehicle-Based Continuous Inspection and Predictive Maintenance of Solar Modules by Ghulam E. Mustafa Abro, Amjad Ali, Sufyan Ali Memon, Tayab Din Memon, Faheem Khan

“…With the fast expansion of large-scale solar farms, the necessity for efficient and dependable maintenance and monitoring of solar modules has grown significantly. …”
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