Keying Merkle-Damgård at the Suffix by Bart Mennink

“…We finally investigate the security of these constructions in the leaky setting, and demonstrate that the suffix keyed Merkle-Damgård construction is not leakage resilient, but the suffix blinded Merkle-Damgård construction is leakage resilient as long as an appropriate padding rule is adopted and as long as the underlying building blocks are processing secret data in a leakage resilient manner. …”
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Neuromorphic principles for machine olfaction by Nik Dennler, Aaron True, André van Schaik, Michael Schmuker

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AgrUNet: A Multi-GPU UNet Based Model for Crops Classification by Andrea Miola, Enrico Calore, Sebastiano Fabio Schifano

“…The deployment of high-resolution satellite missions, like LandSat and Copernicus Sentinel, combined with AI Deep Learning (DL) methodologies has revolutionized Earth Observation science, enabling studies on yield predictions, soil classifications, and crop mappings on large areas, and the analysis and processing of Big Data using innovative approaches. …”
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Advances in Metal Halide Perovskite Memristors: A Review from a Co‐Design Perspective by Bowen Jiang, Xiang Chen, Xiaoxin Pan, Li Tao, Yuangqiang Huang, Jiahao Tang, Xiaoqing Li, Peixiong Wang, Guokun Ma, Jun Zhang, Hao Wang

“…Additionally, the potential of MHPs memristors in data processing, physical encryption devices, artificial synapses, and brain‐like computing advancement of MHPs memristors is evaluated. …”
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Audio-in-Image Steganography Using Analysis and Resynthesis Sound Spectrograph by A. Aravind Krishnan, Yukta Ramesh, Udbhav Urs, Megha Arakeri

“…This is problematic because learning models often plateau at a certain level of accuracy, making further improvements difficult. Audio steganography, like other forms of steganography, is vulnerable to data malleability and requires solutions that offer customisable security features while maintaining robustness. …”
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Koopman-Driven Grip Force Prediction Through EMG Sensing by Tomislav Bazina, Ervin Kamenar, Maria Fonoberova, Igor Mezic

“…Influential parameters were subsequently identified through sensitivity analysis. Leveraging a novel data-driven Koopman-based approach and problem-specific data lifting, we devised a method for the estimation and short-term prediction of grip force from processed sEMG signals. …”
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Pupillary responses to masked and gaze-averted faces by Cansu Malak, Cansu Malak, Funda Yildirim

“…So far, little is known about how gaze and masks influence emotion processing via physiological measures like pupil size. …”
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Advancing Life Cycle Assessment of Sustainable Green Hydrogen Production Using Domain-Specific Fine-Tuning by Large Language Models Augmentation by Yajing Chen, Urs Liebau, Shreyas Mysore Guruprasad, Iaroslav Trofimenko, Christine Minke

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Indonesian Voice Cloning Text-to-Speech System With Vall-E-Based Model and Speech Enhancement by Hizkia Raditya Pratama Roosadi, Rizki Rivai Ginanjar, Dessi Puji Lestari

“…The development also emphasizes the importance of factors like the number of speakers, data selection, processing components, modeling, and speech duration during training for synthesis quality.…”
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Mitigating cloud vulnerabilities using a blockchain platform by Dina Zoughbi, Kavitha Venkatachalam

“…It integrates multimodal data, including text and audio, to improve retrieval accuracy. …”
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Efforts to Combat Criminal Acts of Unlicensed Cosmetics Distribution in Makassar City by Sutiawati, Jasmaniar

“…Conducted at the Sub Directorate 1 of Trade Industry of the Special Criminal Investigation Directorate of South Sulawesi Police and the Makassar Food and Drug Monitoring Center (BPOM), the study utilizes primary data gathered through informant interviews and secondary data from various sources like laws, regulations, and research findings. …”
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Harmonic Analysis via an Integral Equation: An Application to Dengue Transmission by R. G. U. I. Meththananda, N. C. Ganegoda, S. S. N. Perera

“…This is a new approach in the harmonic analysis as we are able to interpret phenomena with damping and amplifying oscillations other than classical Fourier-like periodic waves. The proposed technique is tested with a data set of dengue incidence, where different types of influences prevail. …”
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Editorial: Artificial Intelligence and Cybersecurity in Pervasive Computing by Ji-Jian Chin

“…AI can improve detection, prediction, and anticipative responses to human needs, while cybersecurity addresses topics like misuse prevention, ethics, policies, and governance. …”
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A Survey on Privacy-Preserving Machine Learning Inference by Stanisław Barański

“… This paper examines methods to secure machine learning inference (ML inference) so that sensitive data remains private and proprietary models are protected during remote processing. …”
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Når børn og unge pålægges sagsomkostninger i straffesager by Kasper Jørgensen, Emilie Thage, Annette Olesen

“…Abstract In Denmark, juveniles (aged 15-17) – like adults – are required to repay the Treasury for necessary expenses incurred in the processing of their criminal cases. …”
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Exploration of crowdsourcing in information extraction from remote sensing images by Jianghua ZHAO, Xuezhi WANG, Qinghui LIN, Jianhui LI, Yuanchun ZHOU

“…Based on geospatial data cloud(GSCloud),the application of crowdsourcing in large scale information extraction from satellite images was studied,and a systematic architecture of this paradigm was proposed.By performing an experiment of extracting lakes on Qinghai-Tibetan plateau from landsat images,various aspects of the paradigm like the incentive mechanism,task assignment method,task division and many others were explored.Results show that paying part of the reward in advance and assigning a task to a team instead of individuals do not help attracting more applicants and improving the quality of results.And the accumulation of talents is of critical importance to obtain high-quality task results.Since this paradigm integrates crowdsourcing and machine computing power,and it is generic,it can be applied in more massive remote sensing image processing work which requires much human intervention.…”
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ECONOMIC ANALYSIS OF THE TYPICAL RURAL AREAS IN BULGARIA by Emil MUTAFOV, Yuliyana YARKOVA

“…The research is based on the official national statistics in Bulgaria and Eurostat. After processing the data, main results are showing higher statistical values in some of the analysed parameters, like GDP and average output of non-financial enterprises. …”
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From discovery to delivery: Governance of AI in the pharmaceutical industry by Stephanie Pasas-Farmer, Rashi Jain

“…Artificial Intelligence (AI) is revolutionizing the pharmaceutical industry, significantly enhancing drug discovery, patient care, and operational efficiency. Key AI technologies like machine learning, deep learning, natural language processing, and computer vision are transforming pharmaceutical practices. …”
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Spiking Neural Networks for Multimodal Neuroimaging: A Comprehensive Review of Current Trends and the NeuCube Brain-Inspired Architecture by Omar Garcia-Palencia, Justin Fernandez, Vickie Shim, Nicola Kirilov Kasabov, Alan Wang, the Alzheimer’s Disease Neuroimaging Initiative

“…However, traditional artificial neural networks (ANNs) face challenges in processing spatiotemporal neuroimaging data due to their limited temporal memory and high computational demands. …”
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Frequency of Pre-Analytical Errors and Its Causes in Glucose Specimen Collection: A Cross-Sectional Analysis in Bahawal Victoria Hospital, Pakistan by Hafiza Asma Hafiz, Muhammad Umair Naseer, Seemi Tanvir, Raima Kalhoro, Misbah Hafeez, Memona Zia

“…During the data collection process, quality control procedures were in place to ensure accuracy and consistency.  …”
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