Poging GOUD - Vrij
Smartphone CV: The Necessary Essentials
PCQuest
|October 2017
This guide will help you shop a good smartphone that you are looking for.
Plenty of cell phones flooding the market every month. People have may upgraded features to choose from cutting-edge designs, Dual cameras, massive RAM capacity and tremendous battery power. Today, it is a difficult decision and difficult to pick a Smartphone that is appropriate for you.
Here we have some Top features for a Smartphone that you should look before you buy.
Perfect Screen Size
In the past times of flip phones, having a big screen size was not the necessity. Individuals utilized their phones for just talking and messaging. Accordingly, a bigger screen appeared to be more oppressive than valuable. People truly wondered when the primary floods of 4.0 and 4.3 inch were presented in late 2009 and mid 2010.
So here is question, what should be the correct size? The perfect screen estimate ranges from 4.0 to 5.0 inches, in light of the fact that handset in this range boosts flexibility and usefulness.
4.0 to 5.0 Inches – Why practical?
• Agreeable to hold
• Effortlessly fits into your pocket
• light weight
• Not very huge and not very little
Different types of smartphone screens
There are two types of smartphone screens, the LCD (Liquid Crystal Display) and AMOLED (active matrix organic light-emitting diode) are the top most smartphone screens available today. The iPhone range of phones and Sony smartphones have LCD type screens and Samsung smart phones have AMOLED screens which they call Super AMOLED screens. In LCD and AMOLED smartphone screens there are variations like IPS LCD screens and Super AMOLED screens.
Camera- Eyes for Smartphone
Dit verhaal komt uit de October 2017-editie van PCQuest.
Abonneer u op Magzter GOLD voor toegang tot duizenden zorgvuldig samengestelde premiumverhalen en meer dan 9000 tijdschriften en kranten.
Bent u al abonnee? Aanmelden
MEER VERHALEN VAN PCQuest
PCQuest
When Software Drives the Machine Need for Enterprise-Grade Software
Cars used to fail because of broken parts.Now they fail because of broken code. As vehicles become rolling computers, enterprise-grade software, ruthless testing, and fail-safe architecture decide one thing: whether a car keeps moving safely at 100 km/h
2 mins
March 2026
PCQuest
AI on the ground Practical use cases of AI in large enterprise operations
AI isn't a side project anymore, it's the quiet operator inside global giants. It reads invoices, senses machine fatigue, tailors every customer moment, flags risk in real time, and feeds leaders sharper instincts. Scale just got smarter
3 mins
March 2026
PCQuest
From AI experiments in 2025 to enterprise scale in 2026: Why data foundations will decide the winners
Everyone's betting big on Al, but most are burning cash instead of building value. The hidden culprit? Dirty data, clunky processes, and missing context. What if fixing your foundation, not your algorithms, was the real AI game-changer?
4 mins
March 2026
PCQuest
How automation at the periphery is accelerating digital transformation
Digital transformation is not tearing down the core anymore. It is happening at the edges. With AI and automation layered onto existing systems, companies are cutting costs, boosting productivity by up to 40%, and scaling smarter without risking operational chaos
2 mins
March 2026
PCQuest
When AI moves from chips to racks
AI performance is no longer just about faster chips. It is about how racks, power, networking, and orchestration work together. As agentic AI grows, infrastructure must become predictable, open, and built for scale from day one
4 mins
March 2026
PCQuest
Designing enterprise AI systems that stay fair
In 2026, bias is no longer treated as a communications issue or a public relations headache.
6 mins
March 2026
PCQuest
HALO smart sensor
What if bathrooms, locker rooms, and isolated spaces could become safer without adding cameras?
2 mins
March 2026
PCQuest
Building enterprise AI that doesn't discriminate
Bias in enterprise AI is not a side issue. It starts in data pipelines, training systems, product design, and engineering workflows. As AI scales, fairness, transparency, and accessibility are becoming core software requirements
4 mins
March 2026
PCQuest
Bias travels faster than code
Bias in enterprise AI is not a surface issue. It enters through data, features, model training, APIs, and UI logic, then spreads across the stack. The technical response is shifting from audits to architecture, observability, and deployment controls
6 mins
March 2026
PCQuest
How hospitals can use AI without risking patient data
With the fast pace of adoption of Artificial Intelligence (AI) and digital health systems in Indian hospitals, issues related to the security of patient data are also increasing at an equal rate.
2 mins
March 2026
Translate
Change font size

