Integrated Feature Selection of ARIMA with Computational Intelligence Approaches for Food Crop Price Prediction by Yuehjen E. Shao, Jun-Ting Dai

“…Other than the ARIMA, the components of the proposed integrated forecasting models include artificial neural networks (ANNs), support vector regression (SVR), and multivariate adaptive regression splines (MARS). The predictive accuracies of ARIMA, ANN, SVR, MARS, and the proposed integrated model are compared and discussed. …”
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Territorialiser la question des loups par les pratiques agri-alimentaires. Une enquête sur les relations biodiversité et alimentation en Belledonne by Inès Creti, Edith Chezel, Coralie Mounet, Dominique Baud, Pauline Dusseux

“…How can we transition from a mere adaptation of national sectoral policies on a territorial scale to the development of an actual territorial approach to the conservation of biodiversity, while taking account of the experiences and needs of inhabitants and players, and the specific challenges faced by such territories as regards food? …”
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Simulating Complex Urban Behaviours With AI: Incorporating Improved Intelligent Agents in Urban Simulation Models by Solon Solomou, Ulysses Sengupta

“…The conclusion discusses the potential of utilising cognitive agent architectures and the ability of these models to investigate complex urban patterns incorporating unpredictability, uncertainty, non-linearity, adaptability, evolution, and emergence. The experiment demonstrates the possibility of modelling with more intelligent agents for future city planning and policy.…”
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Machine learning techniques for estimating high–temperature mechanical behavior of high strength steels by C. Yazici, F.J. Domínguez-Gutiérrez

“…Various ML models—including Lasso Regression, Gradient Boosting, Random Forest, Extreme Gradient Boosting, Support Vector Regression, and Adaptive Boosting were rigorously evaluated to determine their predictive capabilities. …”
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Introduction of Eucalyptus spp. into the United States with Special Emphasis on the Southern United States by R. C. Kellison, Russ Lea, Paul Marsh

“…The three levels of testing, screening, in-depth, and semioperational trials led to identification of some species and sources that offered promise for adaptation, but severe winter temperatures in late 1983 and early 1984 and 1985 terminated the project. …”
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Supervised machine learning reveals introgressed loci in the genomes of Drosophila simulans and D. sechellia. by Daniel R Schrider, Julien Ayroles, Daniel R Matute, Andrew D Kern

“…Although we find that these populations may have split more recently than previously appreciated, FILET confirms that there has indeed been appreciable recent introgression (some of which might have been adaptive) between these species, and reveals that this gene flow is primarily in the direction of D. simulans to D. sechellia.…”
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Des bois dans les Maisons. Rôles du système social dans la forêt rurale des paysages des Coteaux de Gascogne (Sud-ouest de la France) by Marc Deconchat, Julien Blanco, Émilie Andrieu, Anne Sourdril

“…It focuses on the benefits of closely associating approaches of landscape ecology and human and social sciences to understand the current state and recent history of these woodlots and to help in designing landscape projects adapted to local contexts. First, we present the specific ecological characteristics of the woodlots, which are distinguished by the rich diversity of ligneous species and their contribution to numerous ecosystem services. …”
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Constitutional reform of Ukraine in 2016 and its impact on the development of the legal system by L. L. Goncharenko

“…It is noted that the priority of the constitutional provisions is due to the fact that all other legal acts of different legal force are developed in accordance to it. …”
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Economic Potentials and Use Dynamics of Sorghum Food System in Ethiopia: Its Implications to Resolve Food Deficit by Teshome Sirany, Esubalew Tadele, Haimanot Aregahegn, Dagnachew Wale

“…Sorghum has the highest utility for its climatic adaptability and has grown for multiple purposes: From staple to industrial outcomes, its economic, social value, and health outcomes, and for animal silage. …”
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Translating Project Achievements into Strategic Plans: A Case Study in Utilization-Focused Evaluation by Ricardo Ramírez, Galin Kora, Dal Brodhead

“…Intervention: The evaluation of a youth training and employment program that provided direct training for marginalized youth as well as capacity building for employment and adapted a Basic Employability Skills Training (BEST) model from India. …”
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Comparison of prepandemic and postpandemic students’ attitude to the electronic learning at universities with foreign language acquisition in mind by E. V. Zubareva, I. G. Tuchkova

“…The authors assessed students’ reaction to possible transition to e-learning, following gradual adaptation to new conditions during lockdown and the role of information technologies in e-learning. …”
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Mechanism of modified mRNA structure in COVID-19 vaccines for inducing neutralizing antibodies by Sabighoh Zanjabila, Beti Ernawati Dewi

“…These vaccines also stimulate adaptive immune responses by activating CD4+ and CD8+ T cells, with mRNA functioning as an endogenous antigen. …”
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Application of Improved Deep Learning Method in Intelligent Power System by HuiJie Liu, Yang Liu, ChengWen Xu

“…The method uses the convolutional neural network to establish the energy prediction calculation model, uses CNN adaptive data features to mine characteristics, quantifies power uncertainty, uses drop regularization to optimize the deep network structure, uses the deep forest to learn the extracted data features, and builds a prediction model, in order to achieve accurate prediction of power load and solve the problem that the accuracy of existing forecasting methods decreases due to random fluctuations of power. …”
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Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering by Junbin Zhuang, Wenying Chen, Xunan Huang, Yunyi Yan

“…This verifies that the proposed method outperforms traditional single-information methods in handling spatial and spectral redundancy between bands, demonstrating good adaptability and stability.…”
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Being happy in unhappy time: life satisfaction and subjective happiness in the background of demographic variables among female Syrian refugees, Poles and Turks by Joanna Nawrocka, Anna Koprowicz

“…The life situation of female Syrian refugees seems to be more difficult than that of Turkish and Polish women who have not experienced the suffering associated with the war, leaving their country and adapting to new living conditions in a foreign environment. …”
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Comparing Bolt Implementation Methods in Vibration Testing for Accurate Dynamic Behavior Analysis by Jong Hyuk Back, Jeong Bin Bae, Ji Hye Kang, Jung Jin Kim

“…This study systematically compares six bolt connection methods—bonded, adaptive bonded, joint, beam, screw, and fixed bolt—using a finite element analysis of a headlamp vibration test jig. …”
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The Al Umanaa Foundation's Literacy Strategies at SMP and SMA Al Umanaa Boarding School, Sukabumi by Supriatnoko, Hastuti Redyanita, Ida Bagus Putu Suamba

“…The study reveals that the Al Umanaa Foundation effectively adapts the literacy learning syllabus to the national curriculum, creates a conducive physical environment, and involves the community in literacy activities. …”
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Performance Evaluation of Various Z-Source Inverter Topologies for PV Applications Using AI-Based MPPT Techniques by N. Kalaiarasi, A. Sivapriya, Pradeep Vishnuram, Mukesh Pushkarna, Mohit Bajaj, Hossam Kotb, Sadam Alphonse

“…Also, artificial neural networks (ANNs), fuzzy logic controller (FLC), and adaptive neuro-fuzzy inference system (ANFIS)-based MPPT techniques are discussed for obtaining maximum power from PV panels. …”
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Perfusion MRI in automatic classification of multiple sclerosis lesion subtypes by Ehsan Homayouny, Rasoul Mahdavifar Khayati, Seyed Massood Nabavi, Vania Karami

“…Therefore, a Bayesian classifier based on the adaptive mixture method was used to segment all lesions, and an artificial neural network (ANN) employed a multi‐layer Perceptron as a subtype classifier. …”
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Randomized Clinical Trial of a Self-Adhering Flowable Composite for Class I Restorations: 2-Year Results by J. Sabbagh, S. Dagher, N. El Osta, P. Souhaid

“…The percentage of restorations scored alpha decreased significantly over time with Premise Flowable and Vertise Flow for marginal adaptation and surface texture as well as marginal discoloration while it did not vary significantly for color matching. …”
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