Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

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Research and implementation of dynamic path tracking method for badminton based on multi-feature fusion by Jiajia He, Jianqiang He

“…And through the machine vision, we analyse the flight characteristics of badminton and the force trajectory model, predict its landing point, and complete the path tracking of badminton movement. …”
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Program semantic analysis model for code reuse detection by GUO Xi, WANG Pan

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Matrix computation over homomorphic plaintext-ciphertext and its application by Yang LIU, Linhan YANG, Jingwei CHEN, Wenyuan WU, Yong FENG

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Highly Sensitive Glucose Sensors Based on Gated Graphene Microwave Waveguides by Patrik Gubeljak, Tianhui Xu, Jan Wlodarczyk, William Eustace, Oliver J. Burton, Stephan Hofmann, George G. Malliaras, Antonio Lombardo

“…This approach combines broadband microwave sensing and chemical field effect transistor sensing in a single device, leading to information‐rich, multidimensional datasets in the form of scattering parameters. A sensitivity of 7.30 dB(mg/L)−1 is achieved, significantly higher than metallic state‐of‐the‐art RF sensors. …”
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Improvement of the Cross-Scale Multi-Feature Stereo Matching Algorithm by Nan Chen, Dongri Shan, Peng Zhang

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Benchmarking Methods for Pointwise Reliability by Cláudio Correia, Simão Paredes, Teresa Rocha, Jorge Henriques, Jorge Bernardino

“…The growing interest in machine learning in a critical domain like healthcare emphasizes the need for reliable predictions, as decisions based on these outputs can have significant consequences. …”
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N V.V. THE METHOD OF ESTIMATION OF THE ECOSYSTEMS STABILITY LEVEL BY USE OF AUTOMATIC LEARNING by V. N. Exzaryan, Rukavitsi

“…The best algorithm of the data processing and its best parameters has been found for the computer assessment of the ecosystem stability level. …”
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Political Sentiment Analysis of Persian Tweets Using CNN-LSTM Model by Mohammad Dehghani, Zahra Yazdanparast

“…In this paper, we present several machine learning and a deep learning model to analysis sentiment of Persian political tweets. …”
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Driving enhanced exciton transfer by automatic differentiation by E Ballarin, D A Chisholm, A Smirne, M Paternostro, F Anselmi, S Donadi

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Global Navigation Satellite System Spoofing Attack Detection Using Receiver Independent Exchange Format Data and Long Short-Term Memory Algorithm by Alexandru-Gabriel Romaniuc, Vlad-Cosmin Vasile, Monica-Elena Borda

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Utilizing Soft Computing Techniques to Estimate the Axial Permanent Deformation of Asphalt Concrete by Amjad H. Albayati, Yazeed S. Jweihan, Mazen J. Al-Kheetan

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A Review on the Security of IoT Networks: From Network Layer’s Perspective by Asma Jahangeer, Sibghat Ullah Bazai, Saad Aslam, Shah Marjan, Muhammad Anas, Sayed Habibullah Hashemi

“…Moreover, we also present a detailed analysis of machine learning-based algorithms and techniques proposed for the security of RPL protocol against internal attacks.…”
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Biomolecular Detection Using AlN/<italic>&#x03B2;</italic>-Ga₂O₃ MOSHEMT: A Machine Learning-Assisted Analytical and Simulation Framework by Aishwarya Tomar, Apurba Chakraborty, Rahul Kumar

“…An analytical framework was developed to effectively detect biomolecules, with the biosensor operating by modifying electrical parameters in response to changes in the dielectric constant of these biomolecules. …”
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Unveiling Landscape‐Level Drivers of Freshwater Biodiversity Dynamics by Niamh Eastwood, Arron Watson, Jiarui Zhou, Luisa Orsini

“…This is done by identifying relationships between environmental drivers—plant protection products, physico‐chemical parameters and typology‐ and community biodiversity changes in 52 lake ecosystems. …”
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PENGARUH DIAMETER NOZZLE DAN PANJANG CABLE TERHADAP CYCLE TIME PADA MESIN AUTOMATIC CABLE TERMINAL YANG DIMODIFIKASI by Muhammad Ubaidillah, Agus Dani

“…Automatic Cable Terminal Machine is an automatic machine used to cut and process electrical materials, this machine is used by automotive companies to make wiring harnesses. …”
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Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

“…The features were tested using a support vector machine (SVM) on the OpenSARShip and FUSAR-Ship datasets, demonstrating improved results compared to existing handcrafted features in the literature. …”
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Optimising Mechanical Performance of Additive Manufactured Composites for Biomedical Applications by Abdul Qadir, Amadi Gabriel Udu, Norman Osa-uwagboe

“…While previous studies have explored the role of process parameters in optimising AM components, the impact of infill geometry on anisotropy and mechanical performance remains underexplored, particularly in the context of machine learning (ML). …”
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Integrating genomics & AI for precision crop monitoring and adaptive stress management by Rajesh Polegopu, Satya Sumanth Vanapalli, Sashi Vardhan Vanapalli, Naga Prudvi Diyya, Mounika Vandila, Divya Valluri, Anjali Peddinti, Sowjanya Saladi, Meghana Pyla, Padmini Gelli

“…IoT sensors track environmental parameters such as soil moisture, temperature, and humidity, refining predictions and optimizing intervention strategies. …”
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QSAR Models for Predicting the Antioxidant Potential of Chemical Substances by Sofia Ghironi, Edoardo Luca Viganò, Gianluca Selvestrel, Emilio Benfenati

“…We started from a dataset of 1911 antioxidant substances, retrieved from the AODB database by selecting the DPPH (1,1-diphenyl-2-picrylhydrazyl) radical scavenging activity assay and the experimental value of the half-maximal inhibitory concentration. Different machine learning algorithms were applied to build regression models, and the goodness-of-fit of each model was assessed using the statistical parameters of R squared (R²), the Root-Mean-Squared Error, and the Mean Absolute Error. …”
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