Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM by Feng-Ming Zhao, De-Xin Gao, Yuan-Ming Cheng, Qing Yang

“…Comparative analysis with hybrid neural network algorithms such as LSTM, BiLSTM, and CNN-LSTM confirms the proposed model’s high accuracy and stability in SOH estimation and RUL prediction.…”
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Energy-Aware Base Stations: The Effect of Planning, Management, and Femto Layers by G. Koutitas, L. Chiaraviglio, Delia Ciullo, M. Meo, L. Tassiulas

“…Fairness between mobile operator and femtocell owners is maintained since current femtocell technologies present flat power consumption curves with respect to served traffic. …”
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Lung cancer brain metastases – the role of neurosurgery by V. A. Aleshin, V. B. Karakhan, A. Kh. Bekyashev, D. M. Belov

“…The difference in the clinical and morphological picture leads to the necessity of choosing therapeutic approaches to patients of various groups.Lung cancer should be referred to encephalotropic diseases since metastatic lesion of the central nervous system is sufficiently common complication. …”
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Edge-aware multisensor brain image fusion via guided filtering in Laplacian domain by Shweta Sharma, Shalli Rani, Ayush Dogra, Mohammed Wasim Bhatt

“…Abstract Medical image fusion is crucial in clinical diagnosis since it enhances diagnostic accuracy by integrating complementary data from many modalities, including Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET). …”
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Optimising offshore multiphase flowmeter technology to improve wet gas field efficiency by Rahimi Zaman Jusoh A. Rashid, MFaizal Mustafa, Idris Ismail, Nur Azlina Mohamed Mokmin

“…The study emphasizes how MPFMs are better for the environment since they reduce the need for extensive separation facilities, which results in smaller and more affordable offshore platforms. …”
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SEAP: squeeze-and-excitation attention guided pruning for lightweight steganalysis networks by Qiushi Li, Shenghai Luo, Shunquan Tan, Zhenjun Li

“…Abstract In recent years, the increasing computational and storage demands of deep steganalysis models have drawn attention to lightweight architectures. While pruning algorithms for image steganalysis networks have been proposed, they often do not apply to networks equipped with mobile inverted bottleneck (MBConv) structures, such as EfficientNet. …”
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Hybrid Cat-Transmon Architecture for Scalable, Hardware-Efficient Quantum Error Correction by Connor T. Hann, Kyungjoo Noh, Harald Putterman, Matthew H. Matheny, Joseph K. Iverson, Michael T. Fang, Christopher Chamberland, Oskar Painter, Fernando G.S.L. Brandão

“…Dissipative cat qubits are a promising physical platform for quantum computing, since their large noise bias can enable more hardware-efficient quantum error correction. …”
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Ant Colony Optimization Using Common Social Information and Self-Memory by Yoshiki Tamura, Tomoko Sakiyama, Ikuo Arizono

“…We apply the existing ACO algorithms and ASIM to some TSP benchmarks and compare the ability to solve TSP.…”
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Anomaly Detection of Wind Turbines Based on Deep Small-World Neural Network by Yaguang LI, Meng LI

“…Finally, two failure cases of wind turbine anomaly detection were given to demonstrate the validity and accuracy of the proposed DSWNN contrasted with the DBN and DNN algorithms.…”
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History of Location Objectives (Hilal Tracker): Development of Astronomical Observations from 2015-Present by Marataon Ritonga, Alya Fathi Muhammad Hasibuan, Rizqan Arya Perdana Nazara

“…This article explains the history of the development of hilal Tracker technology and methods, including integrating astronomical data, using satellite imagery, algorithms for predicting hilal visibility, and cooperation with various local and international institutions. …”
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Blind Steganalysis using One-Class Classification by Mohammed Karem M., Ahmed Nori

“…One-Class Classification (OCC) machine learning algorithms aim to build classification models depending on positive class only when the negative class is not available or poorly sampled. …”
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Artificial Intelligence in Journalism: Bibliometric Analysis of Publication Activity by Violetta A. Zorina

“…Artificial intelligence is changing the algorithms for the development of various spheres of society, is actively being introduced into the media industry, producing new opportunities and social risks. …”
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An Efficient Privacy-preserving Deep Learning Scheme for Medical Image Analysis by J. Andrew Onesimu, J Karthikeyan

“…The human unrecognizable image is then delivered to the service providers who then apply deep learning algorithms on morphed data using augmented convolution layer without any performance penalty. …”
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Machine Learning and Medical Data: Predicting ICU Mortality and Re-admission Risks by Runia Roy, Ulya Bayram

“…However, this is unrealistic since both outcomes are highly possible for each patient. …”
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Quantum metamaterials: Applications in quantum information science by Solomon Uriri, Yaseera Ismail, Mhlambululi Mafu

“…Metamaterials have gradually made their way into the quantum regime since the advent of quantum computing and quantum sensing and imaging. …”
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Mapping Cell Identity from scRNA-seq: A primer on computational methods by Daniele Traversa, Matteo Chiara

“…However, depending on the underlying algorithmic approach and associated computational requirements, each method might have a specific range of application, with implications that are not always clear to the end user. …”
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Analysis of Electrical Safety Conditions Taking into Account Soil Conductivity Determined on the Basis of Fuzzy Logic by Manusov V.Z., Zaytseva N.M.

“…The new scientific result we obtained makes it possible to formalize natural language of the experts in the field of climatic factors influence on soil resistivity in order to represent this information with the help of computer algorithms for optimum design of energy supply security and step voltage and touch voltage calculation.…”
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Autonomous Drone-Based Pollination Systems for Enhancing Crop Yield in Orchards Using IoT and Machine Learning Optimization by Khan Roohee, Lalnunthari Banti

“…Pollination strategies are enhanced by all PSO algorithms which optimize of the flight path and operational parameters. …”
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Passive localization based on radio tomography images with CNN model utilizing WIFI RSSI by Muhammad Jabbar, Umar Shoaib

“…Localizing and tracking objects in these spaces are vital since wall loss causes GPS signals to perform poorly in indoor environments. …”
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PPLIO: Plane-to-Plane LiDAR-Inertial Odometry With Multi-View Constraint in Real-Time by Hanyeol Lee, Jae Hyung Jung, Won Young Chung, Suyong Lee, Chan Gook Park

“…Recent feature-based LiDAR-inertial odometry (LIO) algorithms mainly adopt a point-to-plane model, which requires complex association between numerous feature points and planes. …”
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