Conceptualizing an AI-based Police Robot for Preventing Online Child Sexual Exploitation and Abuse:<subtitle>Part 2 – Legal Analysis of PrevBOT</subtitle> by Inger Marie Sunde, Nina Sunde

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Early prediction of progression-free survival of patients with locally advanced nasopharyngeal carcinoma using multi-parametric MRI radiomics by Lian Jian, Cai Sheng, Huaping Liu, Handong Li, Pingsheng Hu, Zhaodong Ai, Xiaoping Yu, Huai Liu

“…However, few studies have investigated the incremental value of functional MRI to the conventional MRI-based radiomic models. …”
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Une approche computationnelle du cadastre napoléonien de Venise by Isabella di Lenardo, Raphaël Barman, Federica Pardini, Frédéric Kaplan

“…With the use of digital techniques, based in particular on deep learning, it is now possible to extract from these documents an accurate and dense representation of the city and its inhabitants. …”
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Intelligent Web-Based Application for Personalized Obesity Management by I Gusti Ngurah Lanang Wijayakusuma, Made Sudarma, I Ketut Gede Darma Putra, Oka Sudana, Minho Jo

“…The application was developed using React JS for the front end, PHP and MySQL for the backend and database management, and Python as the core of the machine learning system. The application that tested using blackbox method, to see all features is functioning and the web application prototipe is passed all the test scenario.…”
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Human Brain Inspired Artificial Intelligence Neural Networks by Paschalis Theotokis

“…It is becoming increasingly evident that Artificial intelligence (AI) development draws inspiration from the architecture and functions of the human brain. This manuscript examines the alignment between key brain regions—such as the brainstem, sensory cortices, basal ganglia, thalamus, limbic system, and prefrontal cortex—and AI paradigms, including generic AI, machine learning, deep learning, and artificial general intelligence (AGI). …”
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Future directions: what LIES ahead for smart biochemical wearables in health monitoring? by S. Kharb

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Multi-attribute monitoring applications in biopharmaceutical analysis by Anurag S. Rathore, Deepika Sarin, Sanghati Bhattacharya, Sunil Kumar

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FROM: A Fish Recognition-Inspired Optimization Method for Multi-Agent Decision-Making Problems with a Fluid Environment by Yuchen Wang, Lei Sun

“…There are two major improvements in the proposed method: the neighbor topology improvement based on vision recognition and the learning strategies improvement based on hydrodynamic recognition. …”
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A knowledge‐based materials descriptor for compositional dependence of phase transformation in NiTi shape memory alloys by Cheng Li, Qingkai Liang, Yumei Zhou, Dezhen Xue

“…These findings underscore the power of domain‐informed descriptors like ∆τ in enhancing machine learning‐driven materials design.…”
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Impact of Artificial Intelligence on Employee Development at Basrah University by Nadia Ihsan Abdulsahib Noor, Ghalia Nassreddine, Jouman Younis

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Securing gait recognition with homomorphic encryption by Marina Banov, Domagoj Pinčić, Diego Sušanj, Kristijan Lenac

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Multi-key homomorphic proxy re-encryption scheme based on NTRU and its application by Ruiqi LI, Chunfu JIA, Yafei WANG

“…To improve the practicability of homomorphic encryption in the application of multi-user cloud computing, a NTRU-based multi-key homomorphic proxy re-encryption (MKH-PRE) scheme was constructed.Firstly, a new form of NTRU-based multi-key ciphertext was proposed based on the idea of ciphertext extension, and the corresponding homomorphic operations and relinearization procedure were designed on the basis of this new ciphertext form, so that a NTRU-based multi-key homomorphic encryption (MKHE) scheme which supported distributed decryption was constructed.Then, resorting to the idea of key switching, the re-encryption key and re-encryption procedure were put forward such that the functionality of proxy re-encryption (PRE) was integrated to this new NTRU-based MKHE scheme.The MKH-PRE scheme preserved the properties of MKHE and PRE, and had a better performance on the client side.The scheme was applied to the privacy-preserving problems in federated learning and an experiment of the application was carried out.The results demonstrate that the accuracy of learning is scarcely affected by the encryption procedure and the computational overhead of this MKH-PRE scheme is acceptable.…”
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A Review of Simultaneous Localization and Mapping Algorithms Based on Lidar by Yong Li, Jiexin An, Na He, Yanbo Li, Zhenyu Han, Zishan Chen, Yaping Qu

“…Firstly, this paper introduces the overall framework of lidar SLAM, elaborates on the functions of front-end scan matching, loop closure detection, back-end optimization, and map building module, and summarizes the algorithms used. …”
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A multi-strategy improved snake optimizer and its application to SVM parameter selection by Hong Lu, Hongxiang Zhan, Tinghua Wang

“…The experimental results of classical benchmark functions and CEC2022 showed that ISO had higher optimization precision and faster convergence rate. …”
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Review of Internet platforms for assessing the intellectual potential of the Republic of Kazakhstan by K. N. Zhangalieva, M. S. Bekturganova, N. A. Abilkaiyr

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A case study of delexical nouns in an EFL setting by Ruzana Galstyan-Sargsyan, Oksana Polyakova

“…To this end, first, delexical noun functions and frequencies have been studied in-depth in two large English language corpora: Corpus of Contemporary American English (COCA) and British National Corpus (BNC). …”
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An elegant intellectual engine towards automation of blockchain smart contract vulnerability detection by Balachandar Raju, Gayathri Devi K

“…To overcome the limitations of traditional detection methods, this study introduces a novel approach that combines Explainable Artificial Intelligence (XAI) with Deep Learning (DL) to detect vulnerabilities in smart contracts. …”
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A short investigation of the effect of the selection of human brain atlases on the performance of ASD's classification models by Naseer Ahmed Khan, Xuequn Shang

“…Through a systematic review, we examined the performance of different atlases in various machine-learning and deep-learning frameworks for ASD classification. …”
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Real-Time Large-Scale Neural Connectivity Inference on Spiking Neuromorphic System by Daeyoung Kim, Seongsik Park, YeonJoo Jeong, Jaewook Kim, Suyoun Lee, Joon Young Kwak, Hyun Jae Jang, Inho Kim, Jong-Kook Kim, Jongkil Park

“…A deep understanding of neuronal circuitry connectivity is essential to replicate biological functions effectively. Inferring neural connectivity considers the cross-correlation of spike timing. …”
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A Multimodal Data Fusion and Embedding Attention Mechanism-Based Method for Eggplant Disease Detection by Xinyue Wang, Fengyi Yan, Bo Li, Boda Yu, Xingyu Zhou, Xuechun Tang, Tongyue Jia, Chunli Lv

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