Genomic microsatellite characterization and development of polymorphic microsatellites in Eospalax baileyi by Qiqi Hou, Weihong Ji, Kang An, Yuchen Tan, Penghui Liu, Junhu Su

“…Abstract Microsatellite markers are cost-effective, rapid, efficient, and show great advantages in in large-sample kinship analysis and population structure studies. …”
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ELD-YOLO: A Lightweight Framework for Detecting Occluded Mandarin Fruits in Plant Research by Xianyao Wang, Yutong Huang, Siyu Wei, Weize Xu, Xiangsen Zhu, Jiong Mu, Xiaoyan Chen

“…Mandarin fruit detection provides crucial technical support for yield prediction and the precise identification and harvesting of mandarin fruits. However, challenges such as occlusion from leaves or branches, the presence of small or partially visible fruits, and limitations in model efficiency pose significant obstacles in a complex orchard environment. …”
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Hybrid RGSA and Support Vector Machine Framework for Three-Dimensional Magnetic Resonance Brain Tumor Classification by R. Rajesh Sharma, P. Marikkannu

“…A novel hybrid approach for the identification of brain regions using magnetic resonance images accountable for brain tumor is presented in this paper. …”
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Enhancing Cybersecurity: Hybrid Deep Learning Approaches to Smishing Attack Detection by Tanjim Mahmud, Md. Alif Hossen Prince, Md. Hasan Ali, Mohammad Shahadat Hossain, Karl Andersson

“…Experimental results demonstrate that the proposed CNN-Bi-GRU model outperforms existing approaches, achieving an overall highest accuracy of 99.82% in detecting SMS phishing messages. …”
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Модель реализации адаптивно-интеграционного подхода при формировании стратегической конкурентоспособности национальной транспортной инфраструктуры... by K. S. Chumlyakov

“…Also discussed is identification aspect of certain new conceptual approaches to forming such corridors in modern times. …”
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A computational framework for IoT security integrating deep learning-based semantic algorithms for real-time threat response by Ripal Ranpara, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-Zahrani

“…Concurrently, a semantic contextualization layer utilizes knowledge graphs for context-aware threat detection. The model is highly computational and energy efficient, incorporating path-breaking Edge Computing and Real-Time Stream Processing paradigms, facilitating low-latency identification of highly dynamic advanced attacks like APTs and DDoS. …”
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Management of Risk Factors in the Rental Car Market by Aldona Jarašūnienė, Nijolė Batarlienė, Benediktas Šidlauskis

“…The purpose of this article is to examine the risk management of car rental and evaluate the impact of a 5–10-year-old car rental model with reverse logistics on risk reduction and business efficiency. …”
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Deep Learning‐Based Variational Autoencoder for Classification of Quantum and Classical States of Light by Mahesh Bhupati, Abhishek Mall, Anshuman Kumar, Pankaj K. Jha

“…Abstract Advancements in optical quantum technologies have been enabled by the generation, manipulation, and characterization of light, with identification based on its photon statistics. However, characterizing light and its sources through single photon measurements requires efficient detectors and longer measurement times to obtain high‐quality photon statistics. …”
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Early Fault-Tolerant Quantum Algorithms in Practice: Application to Ground-State Energy Estimation by Oriel Kiss, Utkarsh Azad, Borja Requena, Alessandro Roggero, David Wakeham, Juan Miguel Arrazola

“…Our numerical experiments, conducted on a 26-qubit fully connected Heisenberg model, leverage a truncated density-matrix renormalization group (DMRG) initial state with a low bond dimension. …”
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Understanding the Adoption of Halal Logistics through Critical Success Factors and Stakeholder Objectives by Abid Haleem, Mohd Imran Khan, Shahbaz Khan

“…This paper contributes to the identification of stakeholders’ objectives, which will facilitate the efficient adoption of Halal logistics and provide a direction for undertaking associated future work.…”
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Intelligent Processing Methods by Veronika V. Tolmanova, Denis A. Andrikov

“…The wavelet transform provided efficient data representation and multiscale analysis, while stochastic methods were used to model uncertainty and perform probabilistic analysis. …”
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ECONOMETRIC METHODS IN FORECAST EVALUATION OF THE DEVELOPMENT STRATEGY OF A MANUFACTURING SYSTEM by A. N. Mardas, O. A. Gulyaeva

“…The approach is based on the randomization methodology of empirical data and identification of the constructed distribution, as a model for the development after the bifurcation point. …”
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Integrated design and YOLO based control framework for autonomous EV charging robot platforms by V.C. Mahaadevan, Narayanamoorthi R, ShanmugamPillai Pushparaj Logeshwer, Harshit Jain, Sayantan Panda, Petr Moldrik, Tomas Novak, Radomir Gono

“…The proposed model is capable of classifying charging ports precisely. …”
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Quantifying leaf symptoms of sorghum charcoal rot in images of field‐grown plants using deep neural networks by Emmanuel M. Gonzalez, Ariyan Zarei, Sebastian Calleja, Clay Christenson, Bruno Rozzi, Jeffrey Demieville, Jiahuai Hu, Andrea L. Eveland, Brian Dilkes, Kobus Barnard, Eric Lyons, Duke Pauli

“…Among the classification models evaluated, EfficientNet‐B3 demonstrated superior performance, achieving an accuracy of 86.97%, a recall rate of 0.71, and an F1 score of 0.73. …”
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A novel framework for identifying fishing grounds from AIS data containing vessels of unknown types by Changhai Huang, Jialong Kong, Jian Zheng, Yuli Chen, Jingen Zhou

“…To address the issue of precisely identifying fishing grounds in vast sea areas, this study proposes a framework that includes a fishing behavior detection model and a fishing ground identification model, considering vessels of unknown types. …”
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A Deep Learning Approach to Identify Rock Bolts in Complex 3D Point Clouds of Underground Mines Captured Using Mobile Laser Scanners by Dibyayan Patra, Pasindu Ranasinghe, Bikram Banerjee, Simit Raval

“…Addressing these challenges, this paper proposes an approach termed <i>DeepBolt</i>, which employs a novel two-stage deep learning architecture specifically designed for handling severe class imbalance for the automatic and efficient identification of rock bolts in complex 3D point clouds. …”
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Development and validation of a risk scoring system to identify patients with lupus nephritis in electronic health record data by Christine Anastasiou, Zara Izadi, Jinoos Yazdany, Gabriela Schmajuk, Milena Gianfrancesco

“…However, LN diagnosis codes in electronic health records (EHRs) are underused, hindering efficient identification. We investigated the current performance of International Classification of Diseases (ICD) codes, 9th and 10th editions (ICD9/10), for identifying prevalent LN, and developed scoring systems to increase identification of LN that are adaptable to settings with and without LN ICD codes.Methods Training and test sets derived from EHR data from a large health system. …”
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Enhanced YOLOv8-based pavement crack detection: A high-precision approach. by ZuXuan Zhang, HongLi Zhang, TongJia Zhang

“…At present, the repair of cracks is still implemented manually, which has the problems of low identification efficiency and high labor cost. Crack detection is the key to realize the mechanical and intelligent crack repair. …”
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DESIGNING THE SYSTEM OF GOVERNANCE FOR ORGANIZATIONS FUNCTIONING IN SERVICE SECTOR by Elina G. Chilova

“…Components of the governance system architecture are given, such  as object of governance, subject of governance, goals, managerial  decisions, strategy, governance processes, regulations,  organizational structures, risks, indicators and key stages of  designing of the system of governance for organizations in service  sector, i. e. identification of projects, projecting of the object of  governance, goal setting, identifying indicators, units of measurements, planned and current values, shaping events aimed at attaining the set goals, identification and assessment of risks  (distribution of risks by zones), directed at attaining the set goals,  development of events aimed at minimization of risks, identifying the model of business processes, building the organization structure of governance, development of regulations). …”
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Automatic Potato Crop Beetle Recognition Method Based on Multiscale Asymmetric Convolution Blocks by Jingjun Cao, Xiaoqing Xian, Minghui Qiu, Xin Li, Yajie Wei, Wanxue Liu, Guifen Zhang, Lihua Jiang

“…The proposed recognition model achieved accuracy, precision, and recall rates of 99.11%, 99.18%, and 99.11%, respectively, outperforming another five existing models, namely, AlexNet, MobileNet-v3, EfficientNet-b0, DenseNet, and ResNet-101. …”
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