Design of Highly Birefringent and Low-Loss Oligoporous-Core THz Photonic Crystal Fiber With Single Circular Air-Hole Unit by Zhiqing Wu, Zhaohua Shi, Handing Xia, Xiaoyan Zhou, Qinghua Deng, Jin Huang, Xiaodong Jiang, Weidong Wu

“…The newly proposed THz PCF facilitates the fabrication process due to their simple structures with all circular air-holes and may find wide applications in sensing or polarization maintaining transmission systems.…”
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Internet of Medical Things–based decision system for automated classification of Alzheimer’s using three-dimensional views of magnetic resonance imaging scans by Umair Khan, Armughan Ali, Salabat Khan, Farhan Aadil, Mehr Yahya Durrani, Khan Muhammad, Ran Baik, Jong Weon Lee

“…Dementia affects the patient by a process of gradual degeneration of the human brain and results in an inability to perform daily routine tasks and actions. …”
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Performance Predictions of Solar-Assisted Heat Pumps: Methodological Approach and Comparison Between Various Artificial Intelligence Methods by Minghui Ma, Oguzhan Pektezel, Vincenzo Ballerini, Paolo Valdiserri, Eugenia Rossi di Schio

“…This process is inherently complex and presents significant challenges. …”
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Plasmodium P-Type Cyclin CYC3 Modulates Endomitotic Growth during Oocyst Development in Mosquitoes. by Magali Roques, Richard J Wall, Alexander P Douglass, Abhinay Ramaprasad, David J P Ferguson, Mbinda L Kaindama, Lorenzo Brusini, Nimitray Joshi, Zineb Rchiad, Declan Brady, David S Guttery, Sally P Wheatley, Hiroyuki Yamano, Anthony A Holder, Arnab Pain, Bill Wickstead, Rita Tewari

“…During its life cycle it undergoes two types of mitosis: endomitosis in asexual stages and an extremely rapid mitotic process during male gametogenesis. Both schizogony (producing merozoites) in host liver and red blood cells, and sporogony (producing sporozoites) in the mosquito vector, are endomitotic with repeated nuclear replication, without chromosome condensation, before cell division. …”
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Decoding a Cognitive Performance State From Behavioral Data in the Presence of Auditory Stimuli by Saman Khazaei, Rose T. Faghih

“…Deriving an informative observation vector as well as the adaptive model and decoder would be essential in decoding the hidden performance. …”
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Enhanced Subspace Iteration Technique for Probabilistic Modal Analysis of Statically Indeterminate Structures by Hongfei Cao, Xi Peng, Bin Xu, Fengjiang Qin, Qiuwei Yang

“…The essence of this proposed method revolves around efficiently constructing reduced basis vectors during the subspace iteration process, utilizing flexibility disassembly perturbation and the Krylov subspace. …”
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Research on Tool Wear Monitoring Based on ET-GD and K-nearest Neighbor Algorithm by QIN Yiyuan, LIU Xianli, YUE Caixu, GUO Bin, DING Mingna

“…Aiming at the problem of tool wear monitoring in milling process , a tool wear monitoring method based on extreme random tree and Gaussian distribution and K-nearest neighbor is proposed. …”
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Presenting an Innovative Method Based on Ensemble Learning for a Credit Approval System by Eshonkulov Uchkun, Elmurodov Tulkin, Ravshanov Zavqiddin, Каramanov Asqar

“…A credit approval system is a framework or process that financial institutions use to assess the creditworthiness of individuals or businesses applying for loans or credit lines. …”
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Analytical modeling method for electromagnetic linear actuators considering end effects by Yuxin LI, Bo LI, Wenqing GE, Jiayu LU, Jiewei CHEN

“…This method can effectively consider the influence of the end cap on the magnetic field distortion, which provides theoretical reference for solving the electromagnetic characteristics of the electromagnetic linear actuator quickly and accurately, optimizing the structural parameters and the control process.…”
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Potential analysis and energy prediction of photovoltaic power plants using satellite-based remote sensing and artificial intelligence techniques by Hadis Ghaedrahmati, Saeed Talebi, Amirmohammad Moradi, Aref Eskandari, Parviz Parvin, Mohammadreza Aghaei, Mohammadreza Aghaei

“…We utilize GIS and the Analytic Hierarchy Process (AHP) in ArcGIS software to evaluate suitable sites for PV systems. …”
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Enhancing Spraying Performance with Active Stability Control in Multi-Link Mechanisms by Naiyu Shi, He Li, Yongkang Yang, Hongliang Hua, Junhong Ye, Zheng Chen, Ting Xu

“…First, a differential equation was established to relate the input speed to the output speed using vector methods, implicit function transformation to explicit functions, and regression analysis. …”
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Intelligent recognition method for urban road grid patterns by fusing mesh and road features by Zhekun Huang, Haizhong Qian, Zhongxiang Cai, Andong Wang, Junwei Wang, Feng Xiong

“…Previous studies have overlooked the hierarchical nature of the cognitive process, resulting in limited accuracy in recognizing complex grid patterns. …”
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Method on intrusion detection for industrial internet based on light gradient boosting machine by Xiangdong HU, Lingling TANG

“…Intrusion detection is a critical security protection technology in the industrial internet, and it plays a vital role in ensuring the security of the system.In order to meet the requirements of high accuracy and high real-time intrusion detection in industrial internet, an industrial internet intrusion detection method based on light gradient boosting machine optimization was proposed.To address the problem of low detection accuracy caused by difficult-to-classify samples in industrial internet business data, the original loss function of the light gradient boosting machine as a focal loss function was improved.This function can dynamically adjust the loss value and weight of different types of data samples during the training process, reducing the weight of easy-to-classify samples to improve detection accuracy for difficult-to-classify samples.Then a fruit fly optimization algorithm was used to select the optimal parameter combination of the model for the problem that the light gradient boosting machine has many parameters and has great influence on the detection accuracy, detection time and fitting degree of the model.Finally, the optimal parameter combination of the model was obtained and verified on the gas pipeline dataset provided by Mississippi State University, then the effectiveness of the proposed mode was further verified on the water dataset.The experimental results show that the proposed method achieves higher detection accuracy and lower detection time than the comparison model.The detection accuracy of the proposed method on the gas pipeline dataset is at least 3.14% higher than that of the comparison model.The detection time is 0.35s and 19.53s lower than that of the random forest and support vector machine in the comparison model, and 0.06s and 0.02s higher than that of the decision tree and extreme gradient boosting machine, respectively.The proposed method also achieved good detection results on the water dataset.Therefore, the proposed method can effectively identify attack data samples in industrial internet business data and improve the practicality and efficiency of intrusion detection in the industrial internet.…”
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Developing decision making framework on built-up site suitability assessment for urban regeneration in the industrial cities of Eastern India by Harekrishna Manna, Suraj Kumar Mallick, Sanjit Sarkar, Sujit Kumar Roy

“…Therefore, evaluating the prospective suitable sites for built-up area development is important to make sustainable urban planning through the urban regeneration process in the industrial-based urban area Asansol Municipal Corporation (AMC). …”
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High-efficient transgenic hairy roots induction in chicory: re-dawn of a traditional herb by Sara Kabirnataj, Ghorbanali Nematzadeh, Jafar Zolala, Ahmad Farhad Talebi

“…In conclusion, the whole process was successfully optimized as a pre-step to manipulate the chicory hairy root cells to improve the unique potential of secondary metabolite production.…”
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CIVILIZATIONAL DEVELOPMENT AS A PREREQUISITE FOR PROGRESS IN ACHIEVING THE GOALS OF SUSTAINABLE DEVELOPMENT by Viktoriia Rudevska, Natalia Shvetz, Viktoria Tanase

“…This analysis allowed the authors to formulate their vision, emphasizing the tri-vector structure of sustainable development and its dependence on the level of civilization development in society. …”
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Development and evaluation of machine learning models for premixed flame classification in different hydrogen-natural gas proportions using images and audio by Pedro Narvaez, Alejandro Lopez, Jousef E. Karam, Alejandro Restrepo, Andrés A. Amell

“…The feature extraction process employed convolutional neural networks (CNNs) for both data types, with a segmentation stage applied to the audio signals. …”
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Research on ATT-BiLSTM-Based Restoration Method for Deflection Monitoring Data of a Steel Truss Bridge by Yongjian Chen, Rongzhen Liu, Jianlin Wang, Fan Pan, Fei Lian, Hui Cheng

“…Subsequently, the ATT-BiLSTM and Support Vector Machine (SVR) models are established to repair the anomalous monitoring data. …”
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Machine Learning-Based Classification of Turkish Music for Mood-Driven Selection by Nazime Tokgöz, Ali Değirmenci, Ömer Karal

“…The objective is to facilitate the process of choosing Turkish music according to one’s mood. …”
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Comprehensive Benefit Evaluation for Prefabricated Buildings Based on NSGA-II and Simulated Annealing Optimization Projection Pursuit Method by Fang Wang, Binbin Dai, Shiyu Song

“…The market promotion process of prefabricated construction has been slow, and it is significant to clarify the comprehensive benefits to enhance the willingness of construction units to support and the market share of prefabricated buildings. …”
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