X-FuseRLSTM: A Cross-Domain Explainable Intrusion Detection Framework in IoT Using the Attention-Guided Dual-Path Feature Fusion and Residual LSTM by Adel Alabbadi, Fuad Bajaber

“…The model effectively incorporates both spatial and temporal correlations in network traffic data, which improves its detection capability. The model predictions are explained using the XAI techniques. …”
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Hyperspectral Imaging Combined with Deep Learning for the Early Detection of Strawberry Leaf Gray Mold Disease by Yunmeng Ou, Jingyi Yan, Zhiyan Liang, Baohua Zhang

“…Overall, the fused feature-based model can reduce the dimensionality of the classification data and effectively improve the predicting accuracy and precision of the classification algorithm.…”
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In-silico and in-vitro morphometric analysis of intestinal organoids. by Sandra Montes-Olivas, Danny Legge, Abbie Lund, Alexander G Fletcher, Ann C Williams, Lucia Marucci, Martin Homer

“…Developing tools to assess and predict the behaviour of these systems may produce a more robust and standardised biological model to perform accurate clinical studies. …”
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Artificial Intelligence in Identifying Patients With Undiagnosed Nonalcoholic Steatohepatitis by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser

“… # Conclusions Utilization of machine learning to predict NASH allows for wider recognition, timely intervention, and targeted treatments to improve or mitigate disease progression and could be used as an initial screening tool.…”
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Evaluation of the impact of COVID-19 on hepatitis B in Henan Province and its epidemic trend based on Bayesian structured time series model by Xinxiao Li, Yanyan Li, Shushuo Xu, Penghao Wang, Meng Hu, Haibin Li, Yongbin Wang

“…To assess how well the BSTS algorithm performs predictions, we split the observations into various training and testing ranges. …”
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Artificial intelligence in personalized cardiology treatment by Abbas Mohammadi, Sheida Shokohyar

“…Personalized medicine customizes interventions according to individual characteristics, with artificial intelligence (AI) playing a key role in analyzing complex data to improve diagnostic accuracy, predict outcomes, and optimize therapies. AI can identify patterns in imaging and biomarkers, facilitating the earlier detection of medical conditions. …”
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Sequential Multidimensional Scaling with Kalman Filtering for Location Tracking by Lan Anh Trinh, Nguyen Duc Thang, Dang Viet Hung, Tran Cong Hung

“…In this paper, we propose a solution to attenuate noise effects to MDS by combining MDS with a Kalman filter. A model is built to predict the noise distribution with regard to additive noises to the distance measurements following the Gaussian distribution. …”
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Swarm Control with RRT-APF Planning and FNN Task Allocation Tested on Mobile Differential Platform by Michal Lajčiak, Ján Vachálek

“…A feedforward neural network was developed to assign tasks to swarm agents in real time by predicting a suitability score. For centralized swarm planning, a hybrid algorithm combining Rapidly Exploring Random Tree (RRT) and Artificial Potential Field (APF) planners was implemented, incorporating a Multi-Agent Pathfinding (MAPF) solution to resolve simultaneous collisions at intersections. …”
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Application of Monte Carlo Method for Gamma ray Attenuation Properties of Lead Zinc Borate Glasses by Urkiye Akar Tarım, Orhan Gürler

“…Thesimulation results have been verified with predictions from the XCOM program inthe studied energy region from 1 keV to 2000 keV and experimental results.Thus, this verification indicated that this research method can be followed todetermine the interaction and attenuation of gamma rays with the severalenergies in different materials. …”
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A hybrid model based on learning automata and cuckoo search for optimizing test item selection in computerized adaptive testing by Chanjuan Jin, Weiming Pan

“…A learning automaton is used to feed a neural network with the ability to predict a student’s ability based on their response history. …”
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Impact of Climate Change on the Distribution of <i>Cinnamomum malabatrum</i> (Laurales—Lauraceae), a Culturally and Ecologically Important Species of Malabar, Western Ghats, India... by Mukesh Lal Das, Sarat Chandran, Sreenath Subrahmanyam

“…The predicted range shifts and contraction of suitable habitats for the species indicate significant challenges ahead, especially in the Malabar midlands and coastal plains—areas of high endemicity. …”
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Optimisation of material composition in functionally graded plates using a structure-tuned deep neural network by Ryoichi Chiba, Takuya Kishida, Ryoto Seki, Seiya Sato

“…A fully-connected NN, configured with an open-source Bayesian optimisation framework, is employed to predict the maximum in-plane thermal stress for various combinations of design variables. …”
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Balance evaluation system using wearable IMU sensing by Tiantian Wang, Minghui Liu, Benkun Bao, Senhao Zhang, Liuxin Yang, Hongbo Yang, Kai Guo, Dianhuai Meng

“…Thus, the purpose of this study is to utilize data obtained from a low-cost, portable, small-sized IMU (specifically an accelerometer) to predict indicators derived from force platform devices. …”
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Safe and Robust Binary Classification and Fault Detection Using Reinforcement Learning by Josh Netter, Kyriakos G. Vamvoudakis, Timothy F. Walsh, Jaideep Ray

“…In this paper, we propose a learning-based method utilizing the Soft Actor-Critic (SAC) algorithm to train a binary Support Vector Machine (SVM) classifier. …”
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Elevated plasma angiotensin converting enzyme 2 activity is an independent predictor of major adverse cardiac events in patients with obstructive coronary artery disease. by Jay Ramchand, Sheila K Patel, Piyush M Srivastava, Omar Farouque, Louise M Burrell

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The quantification of down-hole fractionation for laser ablation mass spectrometry by J. C. Lloyd, J. C. Lloyd, C. Spandler, S. E. Gilbert, D. Hasterok

“…</p> <p>The generalised nature of the algorithm means it is applicable not only to geochronology but also more broadly within the geosciences where predictable linear (<span class="inline-formula"><i>x</i></span>-to-<span class="inline-formula"><i>y</i></span>) relationships exist.…”
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Information Bottleneck-Based Domain Adaptation for Hybrid Deep Learning in Scalable Network Slicing by Tianlun Hu, Qi Liao, Qiang Liu, Georg Carle

“…Each target domain slice can deploy this estimator to predict its QoS and optimize slice resource allocation using the IDLA algorithm. …”
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Automated Support Generation for Fixed Partial Dentures and Impact of Bone Loss, Bone Quality and Support Types: Parametric Cad and Finite Element Analysis by Hassen Jemaa, Michael Eisenburger, Andreas Greuling

“…<b>Conclusions</b>: The proposed algorithm allows for the automatic, parametrised generation of support for 4-unit fixed partial dentures, which can be used to predict the effect of bone loss and bone quality on stresses for patient-specific geometries. …”
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An Optimized Path Planning Method for Coastal Ships Based on Improved DDPG and DP by Yiquan Du, Xiuguo Zhang, Zhiying Cao, Shaobo Wang, Jiacheng Liang, Fengge Zhang, Jiawei Tang

“…In this paper, an optimized path planning method for coastal ships based on improved Deep Deterministic Policy Gradient (DDPG) and Douglas–Peucker (DP) algorithm is proposed. Firstly, Long Short-Term Memory (LSTM) is used to improve the network structure of DDPG, which uses the historical state information to approximate the current environmental state information, so that the predicted action is more accurate. …”
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Golgi protein 73: charting new territories in diagnosing significant fibrosis in MASLD: a prospective cross-sectional study by Shan Hong, Ziyu Liu, Ping Li, Jing Zhang, Hongshan Wei

“…Serum GP73 levels independently predicted significant liver fibrosis (adjusted odds ratio, aOR 1.028, p&lt; 0.001). …”
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