Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

“…Additionally, a tiny fully convolutional network architecture has been employed, reducing the number of model parameters and computational costs while maintaining or enhancing performance, which is crucial for real-time medical imaging analysis. …”
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Fast Skyline Community Search in Multi-Valued Networks by Dongxiao Yu, Lifang Zhang, Qi Luo, Xiuzhen Cheng, Jiguo Yu, Zhipeng Cai

“…However, the algorithms proposed on skyline community search can only work in the special case that the nodes have different values on each attribute, and the computation complexity degrades exponentially as the number of attributes increases. …”
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A Framework for Analyzing Absorptive Capacity Using Social Network Analysis (Case Study: Sharif University Innovation Ecosystem) by Mahdi Mohammadi, Mahdi Elyasi, Azadeh Savehshemshaki

“…Conclusion The absorption capacity model has been identified by extracting the role of each technology field from within and outside the cluster utilizing the social network analysis method by computing the degree of knowledge input, output, and intermediateness. …”
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Sistem Deteksi Myocardial Infarction Berdasarkan Pathological Q Waves Dan ST Segment Elevation Menggunakan Metode Support Vector Machine by Ragil Hadi Prasetyo, Edita Rosana Widasari, Agung Setia Budi

“…The classification used is the Support Vector Machine which gets an accuracy of 83.30% with an average computing time of 31.20ms. …”
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Transcriptomic analysis of Andrias davidianus meat and experimental validation for exploring its bioactive components as functional foods by Changge Guan, Zhenglin Tan, Shucheng Li, Yi Wang, Naoyuki Yamamoto, Chong Zhang, Songjun Wang, Junjie Chen, Xin-Hui Xing

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Super-twisting sliding mode control of grid-side inverters for wind power generation systems with parameter perturbation by Weiqi Zhang, Yanmin Wang, Muhammad Zeeshan, Fengling Han, Kai Song

“…Further, the predictable control gain and time-varying control gain in three STSMC controllers are designed to minimize control system energy expenditure caused by over-regulation and prevent excessive computation of uncertainty boundaries following system disturbances. …”
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Assessment of Problem-Based Learning Acceptance and Associated Factors Among School of Nursing Students at Wachemo University, Central Ethiopia by Asnakech Zekiwos Heliso MSc, Getachaw Ossabo Babore MSc, Taye Mezgebu Ashine MSc, Bethlehem Birhanu MSc, Bereket Hegeno Anose MSc, Sentayehu Admasu Saliya MSc, Elias Ezo Ereta MSc, Awoka Girma Hailu MSc

“…Being female, study year and Computer access in the learning environment were factors associated with PBL.…”
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Analisis Efek Augmentasi Dataset dan Fine Tune pada Algoritma Pre-Trained Convolutional Neural Network (CNN) by Theopilus Bayu Sasongko, Haryoko Haryoko, Agit Amrullah

“…The MobileNet architecture was coined in 2017 by Howards, et al, which is one of the convolutional neural networks (CNN) architectures that can be used to overcome the need for excessive computing resources. This study aims to measure the effect of fine tune and dataset augmentation techniques on CNN mobilenet, efficientnet, and nasnetmobile transfer learning models with very small datasets. …”
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Pyrolysis-catalytic gasification of plastic waste for hydrogen-rich syngas production with hybrid-functional Ni-CaOCa2SiO4 catalyst by Tian Heng Qin, Guozhao Ji, Boyu Qu, Alan J McCue, Shaoliang Guan, Jos Derksen, Ye Shui Zhang

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Design of Super Resolution and Fuzzy Deep Learning Architecture for the Classification of Land Cover and Landsliding Using Aerial Remote Sensing Data by Junaid Ali Khan, Muhammad Attique Khan, Mohammed Al-Khalidi, Dina Abdulaziz AlHammadi, Areej Alasiry, Mehrez Marzougui, Yudong Zhang, Faheem Khan

“…Moreover, the stability and computational complexity of the presented architecture are computed on 50 independent runs. …”
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Utilizing Partial Non-Orthogonal Multiple Access (P-NOMA) in Drone-Enabled Internet-of-Things Wireless Networks by Hazim Shakhatreh, Sharief Abdel-Razeq, Ala Al-Fuqaha

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Statistical analysis based on a two-staged SEM-SVM approach for environmental noise annoyance prediction and identification of influencing factors by M. Rehman, M. Kamal, S. Tiwari

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A Green Approach to the Production of Hybrid Diindolylmethane-Phenylboronic Acids via a 3MCR: Promising Antineoplasic Molecules by Mónica Zarco Juarez, Joel Omar Martínez, Olivia Noguez Cordova, María Inés Nicolás Vazquez, Teresa Ramírez-Apan, Javier Pérez Flores, René Miranda Ruvalcaba, Gabriel Arturo Arroyo Razo

“…Finally, the products were also analyzed using computational chemistry in order to determine their most stable geometries and reactivities by computing the respective molecular electrostatic potentials.…”
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Digital-based emergency prevention and control system: enhancing infection control in psychiatric hospitals by Mi Yang, Xiaojun Zhu, Fei Yan, Xincheng Huang, Zhixue Wu, Xin Jiang, Yan Huang, Zezhi Li

“…Methods The system incorporates modern technologies such as cloud computing, big data, streaming media, and knowledge graphs. …”
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Visually Impaired People Learning Virtual Textures Through Multimodal Feedback Combining Vibrotactile and Voice by Dapeng Chen, Yi Ding, Hao Wu, Qi Jia, Hong Zeng, Lina Wei, Chengcheng Hua, Jia Liu, Aiguo Song

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Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment by Fatma S. Alrayes, Mohammed Maray, Asma Alshuhail, Khaled Mohamad Almustafa, Abdulbasit A. Darem, Ali M. Al-Sharafi, Shoayee Dlaim Alotaibi

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Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

“…Scheduling techniques are essential to increase resource utilization and task execution within modern computing environments. Round Robin Scheduling (RR) ensures a fair distribution of processes needing attention but often leads to inefficiencies in systems with heterogeneous tasks or different priorities due to large latency or resource usage differences. …”
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Multifunctional all‐nanofiber cloth integrating personal health monitoring and thermal regulation capabilities by Peng Wang, Guifen Sun, Shuaichuang Hua, Wei Yu, Chuizhou Meng, Qing Han, Jeonghyun Kim, Shijie Guo, Guozhen Shen, Yang Li

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Studies on the Effect of Laser Shock Peening Intensity on the Mechanical Properties of Wire Arc Additive Manufactured SS316L by Geethapriyan Thangamani, Santosh Kumar Tamang, Md Saad Patel, Jinoop Arackal Narayanan, Muthuramalingam Thangaraj, Jufan Zhang, Pardeep Kumar Gianchandani, Palani Iyamperumal Anand

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A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition by Jiawen Li, Guanyuan Feng, Chen Ling, Ximing Ren, Xin Liu, Shuang Zhang, Leijun Wang, Yanmei Chen, Xianxian Zeng, Rongjun Chen

“…Emotion recognition is an advanced technology for understanding human behavior and psychological states, with extensive applications for mental health monitoring, human–computer interaction, and affective computing. Based on electroencephalography (EEG), the biomedical signals naturally generated by the brain, this work proposes a resource-efficient multi-entropy fusion method for classifying emotional states. …”
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