Our study was conducted in the suburban forest of Thessaloniki (Seich Sou), which constitutes one most significant forests Greece and is located northeast Thessaloniki. In 1997, more than half area destroyed by a wildfire, while recently (May 2019), insect outbreak bark beetle Tomicus piniperda detected. The action still goes on, infestation has so far 300 ha area. Extensive selective logging removal infected trees from were carried out order to mitigate restrict spread. current study,...

The potential correlation between fir tree-ring width (Abies borisii regis Mattf.) variability and the respective of main climatic parameters in region University Forest Pertouli (central Greece) are being analyzed current study, taking into consideration a 60-year period (1961–2020). Correlation response function analyses were applied to examine climate–tree-growth relationship. Precipitation was found be most crucial driving factor that intensively influences tree growth A. borisii-regis...

Resistive random access memory (ReRAM), referred to as memristor, is an emerging technology potentially replace conventional memories, which will soon be facing serious design challenges related continued scaling. Memristor-based crossbar architecture has been shown the best implementation for ReRAM. However, it faces a major challenge sneak current (current paths) flowing through unselected cells, significantly reduces voltage read margins. In this paper, five alternative architectures...

In this paper, three different flash floods episodes were analyzed, which occurred in October 2006, February 2010, and June 2018 the Chalkidiki peninsula (North Greece). The Soil Conservation Service (SCS) model a revised assessment of CN parameter applied to estimate flood hydrographs, Hydrologic Engineering Center’s-River Analysis System (HEC-RAS) software was used for simulations. Initially, hydrological hydraulic models calibrated at Vatonias watershed (240.90 km2, North Greece), where...

During the last few years, there is a growing concern about climate change and its negative effects on water availability. This study aims to evaluate performance of regional models (RCMs) in simulating seasonal precipitation over mountainous range Central Pindus (Greece). To this end, observed data from ground-based rain gauge stations were compared with RCMs grid point’s simulations for baseline period 1974–2000. Statistical indexes such as root mean square error (RMSE), absolute (MAE),...

The aim of this study was to assess soil erosion changes in the mountainous catchment Portaikos torrent (Central Greece) under climate change. To end, precipitation and temperature data were derived from a high-resolution (25 × 25 km) RegCM3 regional model for baseline period 1974–2000 future 2074–2100. Additionally, three GIS layers generated regarding land cover, geology, slopes area, whereas state recognized after field observations. Subsequently, potential (EPM) applied quantify effects...

Characteristics of the precipitation pattern are determined for Thessaly region in central Greece by using Principal Component Analysis (PCA). Mean monthly data from 75 meteorological stations used covering a 35 year period (1960-1994). The first two principal components (PCs), which describe 87.7% total variance, taken into consideration. It is demonstrated statistically that PC1 related to frequency cyclones crossing area, while PC2 anticyclonic and non-gradient surface weather types cold...

The memristor has been extensively used to facilitate the synaptic online learning of brain-inspired spiking neural networks (SNNs). However, current memristor-based work can not support widely yet sophisticated trace-based rules, including Spike-Timing-Dependent Plasticity (STDP) and Bayesian Confidence Propagation Neural Network (BCPNN) rules. This paper proposes a engine implement learning, consisting blocks analog computing blocks. is mimic trace dynamics by exploiting nonlinear physical...

Inappropriate artificial activities can escalate the frequency, intensity, and magnitude of floods aggravate their aftermath. Additionally, urban sprawl is responsible for increasing manifestation flood events in coastal areas. In this study, effects diachronically formulated stream-channel modifications registered expansion on hazards were quantified. Initially, land-use changes monitored over time a detailed field topographic survey was performed. The peak discharge 50-year return period...

This paper explores memristive grids where emergent computation arises through collective device interactions. Computing efficiency of the is studied in several scenarios and new composite structures are utilized shortest path maze-solving computations. The dependence computing medium behavior on symmetry both underlying geometry employed devices, validated SPICE-level circuit simulations, which highlight important inefficiencies. Particular circuit-models connections enable precise mapping...

In this study, the authors evaluated spatial and temporal variability of rainfall over central Pindus mountain range. To accomplish this, long-term (1961–2016) monthly data from nine rain gauges were collected analyzed. Seasonal annual subjected to Mann–Kendall tests assess possible upward or downward statistically significant trends change-point analyses detect whether a change in time series mean had taken place. Additionally, Sen’s slope method was used estimate trend magnitude, whereas...

The Artificial Neural Networks (ANNs) like CNN/DNN and LSTM are not biologically plausible in spite of their initial success, they cannot attain the cognitive capabilities enabled by dynamic hierarchical associative memory systems biological brains. spiking brain models, for e.g. cortex, basal ganglia amygdala have a greater potential to achieve capabilities. Bayesian Confidence Propagation Network (BCPNN) is model cortex. A human scale BCPNN real time requires 162 TFlops/s, 50 TBs synaptic...

Artificial Neural Networks have been applied to many traditional machine learning applications in image and speech processing. More recently, ANNs caught attention of the bioinformatics community for their ability not only speed up by having assemble genomes but also work with imperfect data set duplications. added attraction better scaling massive parallelism compared algorithms. In this paper, we adapted Self-organizing Maps rapid identification bacterial called BioSOM. BioSOM has...

A novel memristor‐based circuit‐level cellular automata (CA)‐inspired approach to the solution of classic sorting problem n Keys in a linear array is presented. The presented system utilises structural simplicity CA combined with threshold‐type switching behaviour memristors and composite memristive components; latter used for both information encoding computation. focus on model implementation fundamental cell overall operation verified via simulations.

Associative memory is a cornerstone of cognitive intelligence within the human brain. The Bayesian confidence propagation neural network (BCPNN), cortex-inspired model with high biological plausibility, has proven effective in emulating high-level functions like associative memory. However, current approach using GPUs to simulate BCPNN-based tasks encounters challenges latency and power efficiency as size scales. This work proposes scalable multi-FPGA performance computing (HPC) architecture...

Memories based on hysteretic resistive materials are expected to have superior properties such as nonvolatility, low power consumption, well very high capacity. Crossbar arrays considered attractive for future ultimately scaled memories. In this paper, the memristor-based passive crossbar geometry is studied and a set of different topological patterns, which introduce insulating junctions within memory array, presented. worst-case reading scenario simulations revealed significantly improved...